Overview

Dataset statistics

Number of variables191
Number of observations5531451
Missing cells89760376
Missing cells (%)8.5%
Total size in memory2.6 GiB
Average record size in memory508.0 B

Variable types

Categorical2
Numeric189

Alerts

customer_ID has a high cardinality: 458913 distinct valuesHigh cardinality
S_2 has a high cardinality: 396 distinct valuesHigh cardinality
S_3 has 1020544 (18.4%) missing valuesMissing
D_42 has 4740137 (85.7%) missing valuesMissing
D_43 has 1658396 (30.0%) missing valuesMissing
D_46 has 1211699 (21.9%) missing valuesMissing
D_48 has 718725 (13.0%) missing valuesMissing
D_50 has 3142402 (56.8%) missing valuesMissing
P_3 has 301492 (5.5%) missing valuesMissing
D_53 has 4084585 (73.8%) missing valuesMissing
S_7 has 1020544 (18.4%) missing valuesMissing
D_55 has 184803 (3.3%) missing valuesMissing
D_56 has 2990943 (54.1%) missing valuesMissing
S_9 has 2933643 (53.0%) missing valuesMissing
D_61 has 598052 (10.8%) missing valuesMissing
D_62 has 758161 (13.7%) missing valuesMissing
B_17 has 3137598 (56.7%) missing valuesMissing
D_69 has 194473 (3.5%) missing valuesMissing
D_73 has 5475595 (99.0%) missing valuesMissing
D_76 has 4908954 (88.7%) missing valuesMissing
D_77 has 2513912 (45.4%) missing valuesMissing
B_29 has 5150035 (93.1%) missing valuesMissing
D_88 has 5525447 (99.9%) missing valuesMissing
D_104 has 101548 (1.8%) missing valuesMissing
D_105 has 3021431 (54.6%) missing valuesMissing
R_27 has 128703 (2.3%) missing valuesMissing
D_110 has 5500117 (99.4%) missing valuesMissing
B_39 has 5497819 (99.4%) missing valuesMissing
S_27 has 1400935 (25.3%) missing valuesMissing
D_115 has 176716 (3.2%) missing valuesMissing
D_118 has 176716 (3.2%) missing valuesMissing
D_119 has 176716 (3.2%) missing valuesMissing
D_121 has 176716 (3.2%) missing valuesMissing
D_128 has 101548 (1.8%) missing valuesMissing
B_42 has 5459973 (98.7%) missing valuesMissing
D_130 has 101548 (1.8%) missing valuesMissing
D_131 has 101548 (1.8%) missing valuesMissing
D_132 has 4988874 (90.2%) missing valuesMissing
D_134 has 5336752 (96.5%) missing valuesMissing
D_141 has 101548 (1.8%) missing valuesMissing
D_142 has 4587043 (82.9%) missing valuesMissing
B_5 is highly skewed (γ1 = 83.57763672)Skewed
D_49 is highly skewed (γ1 = 67.511887)Skewed
B_6 is highly skewed (γ1 = 395.8205872)Skewed
D_50 is highly skewed (γ1 = 33.9720459)Skewed
B_10 is highly skewed (γ1 = 376.0100708)Skewed
S_5 is highly skewed (γ1 = 102.2197876)Skewed
B_12 is highly skewed (γ1 = 318.7443237)Skewed
B_13 is highly skewed (γ1 = 177.8151855)Skewed
B_14 is highly skewed (γ1 = 29.44746971)Skewed
D_61 is highly skewed (γ1 = 920.5194702)Skewed
B_15 is highly skewed (γ1 = 38.5329628)Skewed
D_65 is highly skewed (γ1 = 259.7397932)Skewed
S_12 is highly skewed (γ1 = 118.6076736)Skewed
B_21 is highly skewed (γ1 = 56.65100098)Skewed
D_69 is highly skewed (γ1 = 714.6623535)Skewed
D_71 is highly skewed (γ1 = 46.85226822)Skewed
B_24 is highly skewed (γ1 = 22.2862606)Skewed
R_7 is highly skewed (γ1 = 59.2946434)Skewed
B_26 is highly skewed (γ1 = 210.3451996)Skewed
S_16 is highly skewed (γ1 = 73.46349335)Skewed
R_13 is highly skewed (γ1 = 28.37972574)Skewed
R_14 is highly skewed (γ1 = 135.1284943)Skewed
D_87 is highly skewed (γ1 = 37.79108397)Skewed
R_17 is highly skewed (γ1 = 36.73885937)Skewed
R_18 is highly skewed (γ1 = 262.866649)Skewed
R_20 is highly skewed (γ1 = 25.61990483)Skewed
R_23 is highly skewed (γ1 = 58.12129254)Skewed
S_22 is highly skewed (γ1 = -70.34739685)Skewed
S_23 is highly skewed (γ1 = 571.807373)Skewed
S_24 is highly skewed (γ1 = -63.1240387)Skewed
S_26 is highly skewed (γ1 = 78.94117737)Skewed
D_106 is highly skewed (γ1 = 1015.67126)Skewed
R_26 is highly skewed (γ1 = 29.78074946)Skewed
B_40 is highly skewed (γ1 = 475.8815308)Skewed
D_123 is highly skewed (γ1 = 50.35856479)Skewed
R_28 is highly skewed (γ1 = 36.67627861)Skewed
D_39 has 3053463 (55.2%) zerosZeros
D_41 has 4811300 (87.0%) zerosZeros
D_44 has 3428702 (62.0%) zerosZeros
B_4 has 772032 (14.0%) zerosZeros
R_2 has 5296274 (95.7%) zerosZeros
B_8 has 3053857 (55.2%) zerosZeros
D_51 has 3800362 (68.7%) zerosZeros
R_3 has 2941959 (53.2%) zerosZeros
S_6 has 4208371 (76.1%) zerosZeros
R_4 has 5386499 (97.4%) zerosZeros
S_8 has 1808480 (32.7%) zerosZeros
R_5 has 5374133 (97.2%) zerosZeros
D_63 has 930133 (16.8%) zerosZeros
D_64 has 2913244 (52.7%) zerosZeros
D_65 has 5293716 (95.7%) zerosZeros
B_16 has 2216009 (40.1%) zerosZeros
B_19 has 4002526 (72.4%) zerosZeros
B_20 has 3423389 (61.9%) zerosZeros
S_13 has 2822865 (51.0%) zerosZeros
B_22 has 4487943 (81.1%) zerosZeros
D_70 has 4004037 (72.4%) zerosZeros
D_72 has 5246010 (94.8%) zerosZeros
P_4 has 4732506 (85.6%) zerosZeros
D_74 has 2339555 (42.3%) zerosZeros
D_75 has 2057679 (37.2%) zerosZeros
R_7 has 5386330 (97.4%) zerosZeros
D_78 has 4872246 (88.1%) zerosZeros
D_79 has 4909979 (88.8%) zerosZeros
R_8 has 5416683 (97.9%) zerosZeros
D_80 has 3801799 (68.7%) zerosZeros
R_10 has 5271789 (95.3%) zerosZeros
R_11 has 5108378 (92.4%) zerosZeros
D_81 has 5327033 (96.3%) zerosZeros
D_82 has 179534 (3.2%) zerosZeros
R_13 has 5481116 (99.1%) zerosZeros
D_83 has 5210893 (94.2%) zerosZeros
R_14 has 5453803 (98.6%) zerosZeros
R_15 has 5446918 (98.5%) zerosZeros
D_84 has 5281460 (95.5%) zerosZeros
R_16 has 5113865 (92.5%) zerosZeros
B_30 has 4710663 (85.2%) zerosZeros
S_18 has 5385055 (97.4%) zerosZeros
D_86 has 5351691 (96.8%) zerosZeros
R_17 has 5496923 (99.4%) zerosZeros
R_18 has 5531015 (> 99.9%) zerosZeros
R_19 has 5433579 (98.2%) zerosZeros
B_32 has 5407462 (97.8%) zerosZeros
S_20 has 5462374 (98.8%) zerosZeros
R_20 has 5448048 (98.5%) zerosZeros
R_21 has 5439558 (98.3%) zerosZeros
B_33 has 2171995 (39.3%) zerosZeros
D_89 has 5452498 (98.6%) zerosZeros
R_22 has 5511507 (99.6%) zerosZeros
R_23 has 5529815 (> 99.9%) zerosZeros
D_91 has 4847176 (87.6%) zerosZeros
D_92 has 5076612 (91.8%) zerosZeros
D_93 has 5475553 (99.0%) zerosZeros
D_94 has 5435912 (98.3%) zerosZeros
R_24 has 5454464 (98.6%) zerosZeros
R_25 has 5513719 (99.7%) zerosZeros
D_96 has 5361524 (96.9%) zerosZeros
D_103 has 2919859 (52.8%) zerosZeros
D_104 has 2919859 (52.8%) zerosZeros
D_106 has 84568 (1.5%) zerosZeros
D_107 has 2919859 (52.8%) zerosZeros
R_26 has 290052 (5.2%) zerosZeros
D_109 has 5520677 (99.8%) zerosZeros
D_113 has 3074837 (55.6%) zerosZeros
D_114 has 2038257 (36.8%) zerosZeros
D_116 has 5348109 (96.7%) zerosZeros
D_117 has 1456084 (26.3%) zerosZeros
D_120 has 4729723 (85.5%) zerosZeros
D_122 has 58249 (1.1%) zerosZeros
D_123 has 5114062 (92.5%) zerosZeros
D_125 has 4959974 (89.7%) zerosZeros
D_126 has 260898 (4.7%) zerosZeros
D_127 has 4964217 (89.7%) zerosZeros
D_128 has 2282338 (41.3%) zerosZeros
D_129 has 3068176 (55.5%) zerosZeros
B_41 has 5415292 (97.9%) zerosZeros
D_130 has 4362088 (78.9%) zerosZeros
D_131 has 4887320 (88.4%) zerosZeros
R_28 has 5527348 (99.9%) zerosZeros
D_135 has 189835 (3.4%) zerosZeros
D_137 has 192901 (3.5%) zerosZeros
D_138 has 138136 (2.5%) zerosZeros
D_139 has 4485483 (81.1%) zerosZeros
D_140 has 5371976 (97.1%) zerosZeros
D_141 has 4485485 (81.1%) zerosZeros
D_143 has 4486175 (81.1%) zerosZeros
D_145 has 4485483 (81.1%) zerosZeros
target has 4153582 (75.1%) zerosZeros

Reproduction

Analysis started2023-03-29 19:44:27.841095
Analysis finished2023-03-29 19:49:46.998446
Duration5 minutes and 19.16 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

customer_ID
Categorical

Distinct458913
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size84.4 MiB
0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fbac11a8ed792feb62a
 
13
a3111280bfa1ed8fafd0b06839eb707f4538497e8087cb62958bb03e1bdde214
 
13
a31376930229162f886c091e5a56a528f81c10a523285828ed05a6e9ccf56722
 
13
a312c595dfaee96c8a597107d2754a49b1acfd127400d98991762d87837b1b65
 
13
a312aff722e7230f9d6a313ff777d6f00166c6bada21a333982426758a2e2a9d
 
13
Other values (458908)
5531386 

Unique

Unique5120 ?
Unique (%)0.1%

Sample

1st row0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fbac11a8ed792feb62a
2nd row0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fbac11a8ed792feb62a
3rd row0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fbac11a8ed792feb62a
4th row0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fbac11a8ed792feb62a
5th row0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fbac11a8ed792feb62a

Common Values

ValueCountFrequency (%)
0000099d6bd597052cdcda90ffabf56573fe9d7c79be5fbac11a8ed792feb62a 13
 
< 0.1%
a3111280bfa1ed8fafd0b06839eb707f4538497e8087cb62958bb03e1bdde214 13
 
< 0.1%
a31376930229162f886c091e5a56a528f81c10a523285828ed05a6e9ccf56722 13
 
< 0.1%
a312c595dfaee96c8a597107d2754a49b1acfd127400d98991762d87837b1b65 13
 
< 0.1%
a312aff722e7230f9d6a313ff777d6f00166c6bada21a333982426758a2e2a9d 13
 
< 0.1%
a312113eabbaddedd24a69525330b713b84887b7266d8a102b7be1595ef86735 13
 
< 0.1%
a31205f7ff4036b8b6ee24897fd4453449da74f161502dd9e7b9964341da598a 13
 
< 0.1%
a311fe0d772d7441d74c8eee1101584933937cb247b449222d34d03638719062 13
 
< 0.1%
a311fd3745e9d4c228b02380aa7d481440805d3ef2bcd55be85b247b097b75c7 13
 
< 0.1%
a311f31bc4f755ed9ecd8c33f682340a612bec04942fe24dbde792c95dd1643b 13
 
< 0.1%
Other values (458903) 5531321
> 99.9%

S_2
Categorical

Distinct396
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size84.4 MiB
2018-02-17
 
26715
2018-01-20
 
25016
2018-02-03
 
23966
2018-03-17
 
23373
2018-02-24
 
23356
Other values (391)
5409025 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-03-09
2nd row2017-04-07
3rd row2017-05-28
4th row2017-06-13
5th row2017-07-16

Common Values

ValueCountFrequency (%)
2018-02-17 26715
 
0.5%
2018-01-20 25016
 
0.5%
2018-02-03 23966
 
0.4%
2018-03-17 23373
 
0.4%
2018-02-24 23356
 
0.4%
2017-11-18 23086
 
0.4%
2018-03-03 22887
 
0.4%
2018-01-27 22563
 
0.4%
2018-02-10 22151
 
0.4%
2018-03-10 21547
 
0.4%
Other values (386) 5296791
95.8%

P_2
Real number (ℝ)

Distinct4534509
Distinct (%)82.7%
Missing45985
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean0.6563339689
Minimum-0.4589548409
Maximum1.00999999
Zeros0
Zeros (%)0.0%
Negative52826
Negative (%)1.0%
Memory size63.3 MiB
2023-03-29T23:49:47.734171image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.4589548409
5-th percentile0.2213036865
Q10.4803306684
median0.6942949891
Q30.8648158759
95-th percentile0.9762967974
Maximum1.00999999
Range1.468954831
Interquartile range (IQR)0.3844852075

Descriptive statistics

Standard deviation0.2446493953
Coefficient of variation (CV)0.3727513841
Kurtosis-0.2428053916
Mean0.6563339689
Median Absolute Deviation (MAD)0.1861114204
Skewness-0.6263723969
Sum3600297.671
Variance0.05985333025
MonotonicityNot monotonic
2023-03-29T23:49:47.877265image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.000072002 9
 
< 0.1%
1.002713203 9
 
< 0.1%
1.001605749 9
 
< 0.1%
1.000193357 9
 
< 0.1%
1.002661824 9
 
< 0.1%
1.002391696 9
 
< 0.1%
1.001065016 9
 
< 0.1%
1.009364247 9
 
< 0.1%
1.005569458 8
 
< 0.1%
1.006295443 8
 
< 0.1%
Other values (4534499) 5485378
99.2%
(Missing) 45985
 
0.8%
ValueCountFrequency (%)
-0.4589548409 1
< 0.1%
-0.4427228272 1
< 0.1%
-0.4403368235 1
< 0.1%
-0.4337791204 1
< 0.1%
-0.4210819602 1
< 0.1%
ValueCountFrequency (%)
1.00999999 1
 
< 0.1%
1.009999871 1
 
< 0.1%
1.009999752 2
< 0.1%
1.009999633 1
 
< 0.1%
1.009999514 3
< 0.1%

D_39
Real number (ℝ)

Distinct180
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.035986399
Minimum0
Maximum183
Zeros3053463
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size52.8 MiB
2023-03-29T23:49:48.005233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile22
Maximum183
Range183
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.181833033
Coefficient of variation (CV)1.823244208
Kurtosis21.44161241
Mean5.035986399
Median Absolute Deviation (MAD)0
Skewness3.37420358
Sum27856312
Variance84.30605784
MonotonicityNot monotonic
2023-03-29T23:49:48.121465image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3053463
55.2%
1 476208
 
8.6%
3 103975
 
1.9%
2 102479
 
1.9%
4 101466
 
1.8%
5 100753
 
1.8%
8 98985
 
1.8%
6 98736
 
1.8%
7 98060
 
1.8%
10 92733
 
1.7%
Other values (170) 1204593
 
21.8%
ValueCountFrequency (%)
0 3053463
55.2%
1 476208
 
8.6%
2 102479
 
1.9%
3 103975
 
1.9%
4 101466
 
1.8%
ValueCountFrequency (%)
183 2
 
< 0.1%
182 14
< 0.1%
181 8
< 0.1%
180 2
 
< 0.1%
179 1
 
< 0.1%

B_1
Real number (ℝ)

Distinct5319031
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1240100061
Minimum-7.588799
Maximum1.32406044
Zeros0
Zeros (%)0.0%
Negative15146
Negative (%)0.3%
Memory size63.3 MiB
2023-03-29T23:49:48.292285image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-7.588799
5-th percentile0.002132080961
Q10.00886364514
median0.03132967651
Q30.1259018704
95-th percentile0.6035548449
Maximum1.32406044
Range8.91285944
Interquartile range (IQR)0.1170382253

Descriptive statistics

Standard deviation0.2119869292
Coefficient of variation (CV)1.709434067
Kurtosis8.280251503
Mean0.1240100061
Median Absolute Deviation (MAD)0.02648500726
Skewness2.68534255
Sum685955.2724
Variance0.04493845627
MonotonicityNot monotonic
2023-03-29T23:49:48.407871image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.04306489974 5
 
< 0.1%
0.008863339201 5
 
< 0.1%
0.01004799828 5
 
< 0.1%
0.03168287873 5
 
< 0.1%
0.008854858577 5
 
< 0.1%
0.0680110082 4
 
< 0.1%
0.1534862816 4
 
< 0.1%
0.02856402658 4
 
< 0.1%
0.009857512079 4
 
< 0.1%
0.009003466927 4
 
< 0.1%
Other values (5319021) 5531406
> 99.9%
ValueCountFrequency (%)
-7.588799 1
< 0.1%
-3.571171999 1
< 0.1%
-1.832537174 1
< 0.1%
-1.80868876 1
< 0.1%
-1.535723925 1
< 0.1%
ValueCountFrequency (%)
1.32406044 1
< 0.1%
1.324060321 1
< 0.1%
1.324059486 1
< 0.1%
1.324058771 1
< 0.1%
1.324058652 1
< 0.1%

B_2
Real number (ℝ)

Distinct2346669
Distinct (%)42.4%
Missing2016
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.6214887021
Minimum9.192279826 × 10-9
Maximum1.00999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:48.893766image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum9.192279826 × 10-9
5-th percentile0.01975536849
Q10.1053313352
median0.8143328428
Q31.002402544
95-th percentile1.008478522
Maximum1.00999999
Range1.009999981
Interquartile range (IQR)0.8970712088

Descriptive statistics

Standard deviation0.4014875293
Coefficient of variation (CV)0.6460093771
Kurtosis-1.464992285
Mean0.6214887021
Median Absolute Deviation (MAD)0.1915436983
Skewness-0.5527594686
Sum3436481.381
Variance0.1611922383
MonotonicityNot monotonic
2023-03-29T23:49:49.017577image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.001747012 45
 
< 0.1%
1.008677125 43
 
< 0.1%
1.00785768 43
 
< 0.1%
1.001958489 43
 
< 0.1%
1.008319974 43
 
< 0.1%
1.009922743 42
 
< 0.1%
1.005700588 42
 
< 0.1%
1.009666562 41
 
< 0.1%
1.00533843 41
 
< 0.1%
1.003484368 41
 
< 0.1%
Other values (2346659) 5529011
> 99.9%
(Missing) 2016
 
< 0.1%
ValueCountFrequency (%)
9.192279826 × 10-91
< 0.1%
5.485063781 × 10-81
< 0.1%
2.024838608 × 10-71
< 0.1%
2.482186687 × 10-71
< 0.1%
3.419473558 × 10-71
< 0.1%
ValueCountFrequency (%)
1.00999999 14
< 0.1%
1.009999871 22
< 0.1%
1.009999752 17
< 0.1%
1.009999633 30
< 0.1%
1.009999514 27
< 0.1%

R_1
Real number (ℝ)

Distinct4788285
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0788026957
Minimum1.534222971 × 10-9
Maximum3.256284475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:49.197067image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.534222971 × 10-9
5-th percentile0.0005799651844
Q10.002895933925
median0.005782230292
Q30.00866058981
95-th percentile0.5073616505
Maximum3.256284475
Range3.256284474
Interquartile range (IQR)0.005764655885

Descriptive statistics

Standard deviation0.2263971865
Coefficient of variation (CV)2.87296246
Kurtosis17.80788231
Mean0.0788026957
Median Absolute Deviation (MAD)0.002882275265
Skewness3.864738226
Sum435893.25
Variance0.05125568435
MonotonicityNot monotonic
2023-03-29T23:49:49.318646image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5048679709 11
 
< 0.1%
0.5035502911 10
 
< 0.1%
0.5076699257 10
 
< 0.1%
0.5070455074 10
 
< 0.1%
0.5004919171 10
 
< 0.1%
0.5059218407 10
 
< 0.1%
0.5080617666 10
 
< 0.1%
0.5068418384 10
 
< 0.1%
0.5059515834 10
 
< 0.1%
0.5053428411 10
 
< 0.1%
Other values (4788275) 5531350
> 99.9%
ValueCountFrequency (%)
1.534222971 × 10-91
< 0.1%
2.05845696 × 10-91
< 0.1%
2.60049382 × 10-91
< 0.1%
3.240393731 × 10-91
< 0.1%
5.138723225 × 10-91
< 0.1%
ValueCountFrequency (%)
3.256284475 1
< 0.1%
3.008228779 1
< 0.1%
3.006101608 1
< 0.1%
3.004918098 1
< 0.1%
3.003350973 1
< 0.1%

S_3
Real number (ℝ)

Distinct4004312
Distinct (%)88.8%
Missing1020544
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean0.225845451
Minimum-0.6271320581
Maximum5.482888222
Zeros0
Zeros (%)0.0%
Negative39570
Negative (%)0.7%
Memory size63.3 MiB
2023-03-29T23:49:49.486605image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.6271320581
5-th percentile0.0618428003
Q10.1272587851
median0.1639081985
Q30.2581016719
95-th percentile0.6062941074
Maximum5.482888222
Range6.11002028
Interquartile range (IQR)0.1308428869

Descriptive statistics

Standard deviation0.1933474839
Coefficient of variation (CV)0.8561052835
Kurtosis15.6255722
Mean0.225845451
Median Absolute Deviation (MAD)0.04869457334
Skewness3.04133153
Sum1018767.826
Variance0.03738325089
MonotonicityNot monotonic
2023-03-29T23:49:49.600421image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1570075899 7
 
< 0.1%
0.1594274342 7
 
< 0.1%
0.1666459888 7
 
< 0.1%
0.1513997018 7
 
< 0.1%
0.1665660143 6
 
< 0.1%
0.1570738703 6
 
< 0.1%
0.1604670286 6
 
< 0.1%
0.1499004364 6
 
< 0.1%
0.172164917 6
 
< 0.1%
0.1722969711 6
 
< 0.1%
Other values (4004302) 4510843
81.5%
(Missing) 1020544
 
18.4%
ValueCountFrequency (%)
-0.6271320581 1
< 0.1%
-0.5450055003 1
< 0.1%
-0.5422621369 1
< 0.1%
-0.5420517921 1
< 0.1%
-0.5173800588 1
< 0.1%
ValueCountFrequency (%)
5.482888222 1
< 0.1%
5.264420986 1
< 0.1%
5.164131165 1
< 0.1%
5.155745029 1
< 0.1%
5.018254757 1
< 0.1%

D_41
Real number (ℝ)

Distinct710177
Distinct (%)12.8%
Missing2016
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.05543459921
Minimum0
Maximum8.988806725
Zeros4811300
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:49.736031image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.3819045484
Maximum8.988806725
Range8.988806725
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2037066668
Coefficient of variation (CV)3.674720657
Kurtosis68.01922607
Mean0.05543459921
Median Absolute Deviation (MAD)0
Skewness6.535387516
Sum306522.0131
Variance0.04149640724
MonotonicityNot monotonic
2023-03-29T23:49:49.866667image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4811300
87.0%
0.3534264266 4
 
< 0.1%
0.1813931018 3
 
< 0.1%
0.1772740632 3
 
< 0.1%
0.2399476618 3
 
< 0.1%
0.2612050474 3
 
< 0.1%
0.2715530396 3
 
< 0.1%
0.2630435526 3
 
< 0.1%
0.6345049739 3
 
< 0.1%
0.2812125087 3
 
< 0.1%
Other values (710167) 718107
 
13.0%
(Missing) 2016
 
< 0.1%
ValueCountFrequency (%)
0 4811300
87.0%
0.04710125923 1
 
< 0.1%
0.04753226414 1
 
< 0.1%
0.04771659896 1
 
< 0.1%
0.04782105237 1
 
< 0.1%
ValueCountFrequency (%)
8.988806725 1
< 0.1%
7.510052204 1
< 0.1%
7.50547123 1
< 0.1%
7.481695652 1
< 0.1%
7.442588806 1
< 0.1%

B_3
Real number (ℝ)

Distinct5273509
Distinct (%)95.4%
Missing2016
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1325389427
Minimum6.285293175 × 10-9
Maximum1.62526226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:50.089915image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum6.285293175 × 10-9
5-th percentile0.001211313705
Q10.005227570189
median0.009777229279
Q30.1550506875
95-th percentile0.7073510051
Maximum1.62526226
Range1.625262254
Interquartile range (IQR)0.1498231173

Descriptive statistics

Standard deviation0.2349928617
Coefficient of variation (CV)1.773009931
Kurtosis4.498757839
Mean0.1325389427
Median Absolute Deviation (MAD)0.007895108312
Skewness2.218411207
Sum732865.4688
Variance0.0552216433
MonotonicityNot monotonic
2023-03-29T23:49:50.208653image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.005508538336 6
 
< 0.1%
0.009595915675 6
 
< 0.1%
0.00962395221 5
 
< 0.1%
0.009272486903 5
 
< 0.1%
0.006914615165 5
 
< 0.1%
0.007890683599 5
 
< 0.1%
0.008969060145 5
 
< 0.1%
0.00803916622 5
 
< 0.1%
0.008400051855 5
 
< 0.1%
0.009334357455 5
 
< 0.1%
Other values (5273499) 5529383
> 99.9%
(Missing) 2016
 
< 0.1%
ValueCountFrequency (%)
6.285293175 × 10-91
< 0.1%
1.028955676 × 10-81
< 0.1%
1.463649468 × 10-81
< 0.1%
4.86930638 × 10-81
< 0.1%
7.574314509 × 10-81
< 0.1%
ValueCountFrequency (%)
1.62526226 1
< 0.1%
1.59653151 1
< 0.1%
1.588911533 1
< 0.1%
1.573555827 1
< 0.1%
1.571395755 1
< 0.1%

D_42
Real number (ℝ)

Distinct785339
Distinct (%)99.2%
Missing4740137
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean0.1849741953
Minimum-0.0004543302639
Maximum4.191118717
Zeros0
Zeros (%)0.0%
Negative155
Negative (%)< 0.1%
Memory size63.3 MiB
2023-03-29T23:49:50.385489image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.0004543302639
5-th percentile0.006846298324
Q10.03751560859
median0.1205187775
Q30.2508694828
95-th percentile0.5759414345
Maximum4.191118717
Range4.191573047
Interquartile range (IQR)0.2133538742

Descriptive statistics

Standard deviation0.2281846255
Coefficient of variation (CV)1.233602477
Kurtosis36.65387726
Mean0.1849741953
Median Absolute Deviation (MAD)0.09544281662
Skewness4.190975666
Sum146372.6704
Variance0.05206822604
MonotonicityNot monotonic
2023-03-29T23:49:50.497836image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.199035868 3
 
< 0.1%
0.1998514086 3
 
< 0.1%
0.2224403769 3
 
< 0.1%
0.1917485148 3
 
< 0.1%
0.2902808785 3
 
< 0.1%
0.347862035 3
 
< 0.1%
0.1272960603 3
 
< 0.1%
0.1998052895 3
 
< 0.1%
0.1716882885 3
 
< 0.1%
0.0842525959 3
 
< 0.1%
Other values (785329) 791284
 
14.3%
(Missing) 4740137
85.7%
ValueCountFrequency (%)
-0.0004543302639 1
< 0.1%
-0.0003720193054 1
< 0.1%
-0.0003320955439 1
< 0.1%
-0.0003271155292 1
< 0.1%
-0.0003248839348 1
< 0.1%
ValueCountFrequency (%)
4.191118717 1
< 0.1%
4.190793514 1
< 0.1%
4.189225674 1
< 0.1%
4.189043522 1
< 0.1%
4.18742609 1
< 0.1%

D_43
Real number (ℝ)

Distinct3708893
Distinct (%)95.8%
Missing1658396
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean0.1546840795
Minimum1.154549807 × 10-7
Maximum10.111619
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:50.705449image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.154549807 × 10-7
5-th percentile0.009686473105
Q10.0422754623
median0.08851244301
Q30.1843205765
95-th percentile0.5133659899
Maximum10.111619
Range10.11161888
Interquartile range (IQR)0.1420451142

Descriptive statistics

Standard deviation0.2133976519
Coefficient of variation (CV)1.379570882
Kurtosis74.26358032
Mean0.1546840795
Median Absolute Deviation (MAD)0.05492885038
Skewness5.640076637
Sum599099.9474
Variance0.04553855583
MonotonicityNot monotonic
2023-03-29T23:49:50.987605image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1518986672 5
 
< 0.1%
0.1197372377 5
 
< 0.1%
0.06901100278 5
 
< 0.1%
0.03767946362 4
 
< 0.1%
0.04728301615 4
 
< 0.1%
0.1134091988 4
 
< 0.1%
0.130965367 4
 
< 0.1%
0.07013215125 4
 
< 0.1%
0.03553260118 4
 
< 0.1%
0.1092154086 4
 
< 0.1%
Other values (3708883) 3873012
70.0%
(Missing) 1658396
30.0%
ValueCountFrequency (%)
1.154549807 × 10-71
< 0.1%
1.160651735 × 10-71
< 0.1%
2.876647045 × 10-71
< 0.1%
3.548960592 × 10-71
< 0.1%
5.429255339 × 10-71
< 0.1%
ValueCountFrequency (%)
10.111619 1
< 0.1%
10.07560444 1
< 0.1%
9.343201637 1
< 0.1%
9.321696281 1
< 0.1%
9.242131233 1
< 0.1%

D_44
Real number (ℝ)

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.812945464
Minimum-1
Maximum45
Zeros3428702
Zeros (%)62.0%
Negative274319
Negative (%)5.0%
Memory size47.5 MiB
2023-03-29T23:49:51.098238image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum45
Range46
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.774809234
Coefficient of variation (CV)2.183183636
Kurtosis13.38881464
Mean0.812945464
Median Absolute Deviation (MAD)0
Skewness2.979484371
Sum4496768
Variance3.149947817
MonotonicityNot monotonic
2023-03-29T23:49:51.201928image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 3428702
62.0%
1 739265
 
13.4%
2 406169
 
7.3%
-1 274319
 
5.0%
3 251447
 
4.5%
4 160039
 
2.9%
5 100686
 
1.8%
6 63557
 
1.1%
7 39350
 
0.7%
8 24943
 
0.5%
Other values (28) 42974
 
0.8%
ValueCountFrequency (%)
-1 274319
 
5.0%
0 3428702
62.0%
1 739265
 
13.4%
2 406169
 
7.3%
3 251447
 
4.5%
ValueCountFrequency (%)
45 3
< 0.1%
44 1
 
< 0.1%
43 2
< 0.1%
42 2
< 0.1%
41 1
 
< 0.1%

B_4
Real number (ℝ)

Distinct293
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.06909471
Minimum0
Maximum1544
Zeros772032
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size52.8 MiB
2023-03-29T23:49:51.311021image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q318
95-th percentile48
Maximum1544
Range1544
Interquartile range (IQR)16

Descriptive statistics

Standard deviation17.34693536
Coefficient of variation (CV)1.327324941
Kurtosis20.69655395
Mean13.06909471
Median Absolute Deviation (MAD)5
Skewness2.607844145
Sum72291057
Variance300.9161664
MonotonicityNot monotonic
2023-03-29T23:49:51.424956image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 772032
 
14.0%
1 526118
 
9.5%
2 458767
 
8.3%
3 370885
 
6.7%
4 294351
 
5.3%
5 237719
 
4.3%
6 199268
 
3.6%
7 169543
 
3.1%
8 148923
 
2.7%
9 135310
 
2.4%
Other values (283) 2218535
40.1%
ValueCountFrequency (%)
0 772032
14.0%
1 526118
9.5%
2 458767
8.3%
3 370885
6.7%
4 294351
 
5.3%
ValueCountFrequency (%)
1544 1
< 0.1%
475 1
< 0.1%
374 1
< 0.1%
353 1
< 0.1%
345 1
< 0.1%

D_45
Real number (ℝ)

Distinct5210401
Distinct (%)94.2%
Missing2017
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.2521867271
Minimum1.563241092 × 10-8
Maximum1.610002041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:51.717223image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.563241092 × 10-8
5-th percentile0.01275168271
Q10.05462902039
median0.1808053404
Q30.3733219206
95-th percentile0.7703374356
Maximum1.610002041
Range1.610002025
Interquartile range (IQR)0.3186929002

Descriptive statistics

Standard deviation0.2426827401
Coefficient of variation (CV)0.9623136907
Kurtosis1.593646049
Mean0.2521867271
Median Absolute Deviation (MAD)0.1407779753
Skewness1.31297195
Sum1394449.863
Variance0.05889491364
MonotonicityNot monotonic
2023-03-29T23:49:51.904368image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2755927145 5
 
< 0.1%
0.03189248964 5
 
< 0.1%
0.3271084726 5
 
< 0.1%
0.3348637223 5
 
< 0.1%
0.06633160263 5
 
< 0.1%
0.3065502048 5
 
< 0.1%
0.06316018105 5
 
< 0.1%
0.1902457476 5
 
< 0.1%
0.3869531453 5
 
< 0.1%
0.329097122 5
 
< 0.1%
Other values (5210391) 5529384
> 99.9%
(Missing) 2017
 
< 0.1%
ValueCountFrequency (%)
1.563241092 × 10-81
< 0.1%
7.454544715 × 10-81
< 0.1%
1.725689316 × 10-71
< 0.1%
3.456509035 × 10-71
< 0.1%
4.793016615 × 10-71
< 0.1%
ValueCountFrequency (%)
1.610002041 1
< 0.1%
1.603547812 1
< 0.1%
1.602638483 1
< 0.1%
1.601498008 1
< 0.1%
1.600563645 1
< 0.1%

B_5
Real number (ℝ)

Distinct5268298
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08311185052
Minimum2.804821653 × 10-11
Maximum144.207016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:52.218836image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.804821653 × 10-11
5-th percentile0.001896675967
Q10.007280386286
median0.0153768165
Q30.05371836945
95-th percentile0.3443570435
Maximum144.207016
Range144.207016
Interquartile range (IQR)0.04643798317

Descriptive statistics

Standard deviation0.3970432281
Coefficient of variation (CV)4.777215591
Kurtosis18713.66406
Mean0.08311185052
Median Absolute Deviation (MAD)0.01108705718
Skewness83.57763672
Sum459729.1287
Variance0.1576433331
MonotonicityNot monotonic
2023-03-29T23:49:52.365978image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009321966209 6
 
< 0.1%
0.009960940108 6
 
< 0.1%
0.009368483908 6
 
< 0.1%
0.01691889949 5
 
< 0.1%
0.009552901611 5
 
< 0.1%
0.009854380041 5
 
< 0.1%
0.008117843419 5
 
< 0.1%
0.008689652197 5
 
< 0.1%
0.008825193159 5
 
< 0.1%
0.02256041206 5
 
< 0.1%
Other values (5268288) 5531398
> 99.9%
ValueCountFrequency (%)
2.804821653 × 10-111
< 0.1%
9.308198656 × 10-101
< 0.1%
1.2794386 × 10-81
< 0.1%
1.289328111 × 10-81
< 0.1%
4.20274624 × 10-81
< 0.1%
ValueCountFrequency (%)
144.207016 1
< 0.1%
141.0592957 1
< 0.1%
140.5655365 1
< 0.1%
137.4131165 1
< 0.1%
122.1386948 1
< 0.1%

R_2
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04251633071
Minimum0
Maximum1
Zeros5296274
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:49:52.480823image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2017639702
Coefficient of variation (CV)4.745564043
Kurtosis18.56479612
Mean0.04251633071
Median Absolute Deviation (MAD)0
Skewness4.534841718
Sum235177
Variance0.04070869969
MonotonicityNot monotonic
2023-03-29T23:49:52.564344image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5296274
95.7%
1 235177
 
4.3%
ValueCountFrequency (%)
0 5296274
95.7%
1 235177
 
4.3%
ValueCountFrequency (%)
1 235177
 
4.3%
0 5296274
95.7%

D_46
Real number (ℝ)

Distinct3388402
Distinct (%)78.4%
Missing1211699
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean0.4754783566
Minimum-17.28934288
Maximum16.31990051
Zeros0
Zeros (%)0.0%
Negative42258
Negative (%)0.8%
Memory size63.3 MiB
2023-03-29T23:49:52.718178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-17.28934288
5-th percentile0.2842223719
Q10.4251277074
median0.4596702605
Q30.5174065977
95-th percentile0.712603417
Maximum16.31990051
Range33.60924339
Interquartile range (IQR)0.09227889031

Descriptive statistics

Standard deviation0.1698931158
Coefficient of variation (CV)0.3573098826
Kurtosis140.5029602
Mean0.4754783566
Median Absolute Deviation (MAD)0.04404455423
Skewness0.7318148017
Sum2053948.582
Variance0.02886366844
MonotonicityNot monotonic
2023-03-29T23:49:52.848545image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4498308003 8
 
< 0.1%
0.4304551184 8
 
< 0.1%
0.4519266486 8
 
< 0.1%
0.5060880184 8
 
< 0.1%
0.4509907365 8
 
< 0.1%
0.456510365 8
 
< 0.1%
0.4687131643 8
 
< 0.1%
0.4547788203 8
 
< 0.1%
0.4469265938 8
 
< 0.1%
0.4430924952 8
 
< 0.1%
Other values (3388392) 4319672
78.1%
(Missing) 1211699
 
21.9%
ValueCountFrequency (%)
-17.28934288 1
< 0.1%
-12.90800095 1
< 0.1%
-10.91417503 1
< 0.1%
-9.647968292 1
< 0.1%
-9.507946968 1
< 0.1%
ValueCountFrequency (%)
16.31990051 1
< 0.1%
14.80663204 1
< 0.1%
12.5295105 1
< 0.1%
9.834361076 1
< 0.1%
8.719052315 1
< 0.1%

D_47
Real number (ℝ)

Distinct4986282
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.407109349
Minimum-0.02662164159
Maximum1.643096209
Zeros0
Zeros (%)0.0%
Negative43199
Negative (%)0.8%
Memory size63.3 MiB
2023-03-29T23:49:53.040671image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.02662164159
5-th percentile0.05270114355
Q10.2323514447
median0.3831664026
Q30.5615485907
95-th percentile0.8410133719
Maximum1.643096209
Range1.66971785
Interquartile range (IQR)0.329197146

Descriptive statistics

Standard deviation0.2347989082
Coefficient of variation (CV)0.5767465395
Kurtosis-0.1847603917
Mean0.407109349
Median Absolute Deviation (MAD)0.162310034
Skewness0.4818336666
Sum2251905.416
Variance0.05513053015
MonotonicityNot monotonic
2023-03-29T23:49:53.259239image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5356728435 6
 
< 0.1%
0.5803149939 6
 
< 0.1%
0.5300837159 6
 
< 0.1%
0.562192142 6
 
< 0.1%
0.5384232998 6
 
< 0.1%
0.3163324296 6
 
< 0.1%
0.5490577817 6
 
< 0.1%
0.5379955769 6
 
< 0.1%
0.5502845645 6
 
< 0.1%
0.5861179829 6
 
< 0.1%
Other values (4986272) 5531391
> 99.9%
ValueCountFrequency (%)
-0.02662164159 1
< 0.1%
-0.02662015334 1
< 0.1%
-0.02661992237 1
< 0.1%
-0.02661873959 1
< 0.1%
-0.02661786601 1
< 0.1%
ValueCountFrequency (%)
1.643096209 1
< 0.1%
1.643007874 1
< 0.1%
1.642689586 1
< 0.1%
1.642568231 1
< 0.1%
1.640191793 1
< 0.1%

D_48
Real number (ℝ)

Distinct4534865
Distinct (%)94.2%
Missing718725
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean0.3816245208
Minimum-0.00961527694
Maximum8.971425056
Zeros0
Zeros (%)0.0%
Negative26836
Negative (%)0.5%
Memory size63.3 MiB
2023-03-29T23:49:53.437937image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.00961527694
5-th percentile0.01305402233
Q10.08100684918
median0.28617163
Q30.6693663001
95-th percentile0.9408938438
Maximum8.971425056
Range8.981040333
Interquartile range (IQR)0.5883594509

Descriptive statistics

Standard deviation0.3264792562
Coefficient of variation (CV)0.8554986338
Kurtosis0.297952503
Mean0.3816245208
Median Absolute Deviation (MAD)0.2393053919
Skewness0.5881231427
Sum1836654.253
Variance0.1065887064
MonotonicityNot monotonic
2023-03-29T23:49:53.550788image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9425214529 6
 
< 0.1%
0.9413357377 6
 
< 0.1%
0.9268231988 5
 
< 0.1%
0.9370354414 5
 
< 0.1%
0.3371716738 5
 
< 0.1%
0.9024319649 5
 
< 0.1%
0.9425327182 5
 
< 0.1%
0.7598078251 5
 
< 0.1%
0.6438823938 5
 
< 0.1%
0.940856874 5
 
< 0.1%
Other values (4534855) 4812674
87.0%
(Missing) 718725
 
13.0%
ValueCountFrequency (%)
-0.00961527694 1
< 0.1%
-0.009613559581 1
< 0.1%
-0.009613402188 1
< 0.1%
-0.009611999616 1
< 0.1%
-0.00961176306 1
< 0.1%
ValueCountFrequency (%)
8.971425056 1
< 0.1%
8.970671654 1
< 0.1%
8.969249725 1
< 0.1%
8.967209816 1
< 0.1%
8.967105865 1
< 0.1%

D_49
Real number (ℝ)

Distinct321
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4075323093
Minimum-1
Maximum3254
Zeros17205
Zeros (%)0.3%
Negative4985917
Negative (%)90.1%
Memory size52.8 MiB
2023-03-29T23:49:53.668428image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile9
Maximum3254
Range3255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.525523763
Coefficient of variation (CV)18.46607886
Kurtosis16976.77202
Mean0.4075323093
Median Absolute Deviation (MAD)0
Skewness67.511887
Sum2254245
Variance56.63350791
MonotonicityNot monotonic
2023-03-29T23:49:53.779539image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 4985917
90.1%
1 34410
 
0.6%
2 33765
 
0.6%
4 33653
 
0.6%
3 33305
 
0.6%
5 32961
 
0.6%
6 27488
 
0.5%
7 26936
 
0.5%
8 24565
 
0.4%
9 23507
 
0.4%
Other values (311) 274944
 
5.0%
ValueCountFrequency (%)
-1 4985917
90.1%
0 17205
 
0.3%
1 34410
 
0.6%
2 33765
 
0.6%
3 33305
 
0.6%
ValueCountFrequency (%)
3254 1
< 0.1%
2871 1
< 0.1%
1952 1
< 0.1%
1746 1
< 0.1%
1726 1
< 0.1%

B_6
Real number (ℝ)

Distinct5152590
Distinct (%)93.2%
Missing233
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.152117377
Minimum-0.005178168416
Maximum1214.516968
Zeros0
Zeros (%)0.0%
Negative6808
Negative (%)0.1%
Memory size63.3 MiB
2023-03-29T23:49:53.949067image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.005178168416
5-th percentile0.006297095981
Q10.02048715996
median0.08338486776
Q30.1919293664
95-th percentile0.3342433706
Maximum1214.516968
Range1214.522146
Interquartile range (IQR)0.1714422065

Descriptive statistics

Standard deviation1.476770043
Coefficient of variation (CV)9.708095636
Kurtosis236268.9062
Mean0.152117377
Median Absolute Deviation (MAD)0.07268629223
Skewness395.8205872
Sum841394.3735
Variance2.180849791
MonotonicityNot monotonic
2023-03-29T23:49:54.098942image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1789832562 7
 
< 0.1%
0.2018018663 7
 
< 0.1%
0.1755266041 6
 
< 0.1%
0.1722885668 6
 
< 0.1%
0.1795754135 6
 
< 0.1%
0.1762837023 6
 
< 0.1%
0.2006540745 6
 
< 0.1%
0.1937848032 6
 
< 0.1%
0.180380553 6
 
< 0.1%
0.1746296585 6
 
< 0.1%
Other values (5152580) 5531156
> 99.9%
(Missing) 233
 
< 0.1%
ValueCountFrequency (%)
-0.005178168416 1
< 0.1%
-0.00507523492 1
< 0.1%
-0.004984778352 1
< 0.1%
-0.004892709665 1
< 0.1%
-0.004853510763 1
< 0.1%
ValueCountFrequency (%)
1214.516968 1
< 0.1%
1073.485962 1
< 0.1%
1010.881897 1
< 0.1%
805.1601562 1
< 0.1%
798.7061157 1
< 0.1%

B_7
Real number (ℝ)

Distinct5259879
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1860835747
Minimum-2.652748585
Maximum1.252750158
Zeros0
Zeros (%)0.0%
Negative4011
Negative (%)0.1%
Memory size63.3 MiB
2023-03-29T23:49:54.302941image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2.652748585
5-th percentile0.008726933971
Q10.02824729215
median0.07574611902
Q30.2709323019
95-th percentile0.6859309077
Maximum1.252750158
Range3.905498743
Interquartile range (IQR)0.2426850097

Descriptive statistics

Standard deviation0.2304194719
Coefficient of variation (CV)1.238257983
Kurtosis3.16687727
Mean0.1860835747
Median Absolute Deviation (MAD)0.05904872343
Skewness1.795511007
Sum1029312.175
Variance0.05309313163
MonotonicityNot monotonic
2023-03-29T23:49:54.416702image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03164794296 5
 
< 0.1%
0.037892472 5
 
< 0.1%
0.1408558488 5
 
< 0.1%
0.0351549983 5
 
< 0.1%
0.1676984876 5
 
< 0.1%
0.0319680199 5
 
< 0.1%
0.0320828706 5
 
< 0.1%
0.1940529943 5
 
< 0.1%
0.02715067565 5
 
< 0.1%
0.03183922544 5
 
< 0.1%
Other values (5259869) 5531401
> 99.9%
ValueCountFrequency (%)
-2.652748585 1
< 0.1%
-1.717724562 1
< 0.1%
-1.513256788 1
< 0.1%
-0.8528932333 1
< 0.1%
-0.7637431622 1
< 0.1%
ValueCountFrequency (%)
1.252750158 1
< 0.1%
1.252749801 1
< 0.1%
1.252749562 2
< 0.1%
1.252748609 2
< 0.1%
1.252748013 1
< 0.1%

B_8
Real number (ℝ)

Distinct88734
Distinct (%)1.6%
Missing22268
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.4478102114
Minimum0
Maximum1.01907897
Zeros3053857
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:54.541891image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.004174948
95-th percentile1.008660436
Maximum1.01907897
Range1.01907897
Interquartile range (IQR)1.004174948

Descriptive statistics

Standard deviation0.4994212091
Coefficient of variation (CV)1.115251945
Kurtosis-1.952144027
Mean0.4478102114
Median Absolute Deviation (MAD)0
Skewness0.2186238468
Sum2467068.404
Variance0.2494215518
MonotonicityNot monotonic
2023-03-29T23:49:54.706975image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3053857
55.2%
1.006499171 56
 
< 0.1%
1.000805974 55
 
< 0.1%
1.004936814 52
 
< 0.1%
1.007515669 51
 
< 0.1%
1.004576325 51
 
< 0.1%
1.004594088 51
 
< 0.1%
1.009017706 51
 
< 0.1%
1.002492547 51
 
< 0.1%
1.008117557 51
 
< 0.1%
Other values (88724) 2454857
44.4%
(Missing) 22268
 
0.4%
ValueCountFrequency (%)
0 3053857
55.2%
0.9997352958 1
 
< 0.1%
0.9997353554 3
 
< 0.1%
0.9997354746 3
 
< 0.1%
0.9997355342 1
 
< 0.1%
ValueCountFrequency (%)
1.01907897 1
< 0.1%
1.017767668 1
< 0.1%
1.015380025 1
< 0.1%
1.015254974 1
< 0.1%
1.015022874 1
< 0.1%

D_50
Real number (ℝ)

MISSING  SKEWED 

Distinct2306378
Distinct (%)96.5%
Missing3142402
Missing (%)56.8%
Infinite0
Infinite (%)0.0%
Mean0.1744346834
Minimum-306.4870605
Maximum244.0426636
Zeros0
Zeros (%)0.0%
Negative12712
Negative (%)0.2%
Memory size63.3 MiB
2023-03-29T23:49:54.889114image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-306.4870605
5-th percentile0.02625549063
Q10.06476119906
median0.1094134599
Q30.1869698316
95-th percentile0.4480815589
Maximum244.0426636
Range550.5297241
Interquartile range (IQR)0.1222086325

Descriptive statistics

Standard deviation0.6337474585
Coefficient of variation (CV)3.633150506
Kurtosis39228.51172
Mean0.1744346834
Median Absolute Deviation (MAD)0.05370645598
Skewness33.9720459
Sum416733.006
Variance0.4016358554
MonotonicityNot monotonic
2023-03-29T23:49:54.996619image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1430462003 5
 
< 0.1%
0.1624167264 4
 
< 0.1%
0.06289731711 4
 
< 0.1%
0.1227023304 4
 
< 0.1%
0.1256176084 4
 
< 0.1%
0.08069419116 4
 
< 0.1%
0.07172185183 4
 
< 0.1%
0.1379720569 4
 
< 0.1%
0.1310735345 4
 
< 0.1%
0.2639218867 4
 
< 0.1%
Other values (2306368) 2389008
43.2%
(Missing) 3142402
56.8%
ValueCountFrequency (%)
-306.4870605 1
< 0.1%
-5.450930595 1
< 0.1%
-4.49826479 1
< 0.1%
-3.856207848 1
< 0.1%
-3.672545671 1
< 0.1%
ValueCountFrequency (%)
244.0426636 1
< 0.1%
129.0506439 1
< 0.1%
122.020134 1
< 0.1%
118.7898254 1
< 0.1%
115.5423584 1
< 0.1%

D_51
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4202264469
Minimum0
Maximum8
Zeros3800362
Zeros (%)68.7%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:49:55.235457image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7269460183
Coefficient of variation (CV)1.729891166
Kurtosis5.385875199
Mean0.4202264469
Median Absolute Deviation (MAD)0
Skewness2.083510907
Sum2324462
Variance0.5284505135
MonotonicityNot monotonic
2023-03-29T23:49:55.321267image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 3800362
68.7%
1 1290125
 
23.3%
2 322793
 
5.8%
3 90456
 
1.6%
4 22185
 
0.4%
5 4702
 
0.1%
6 680
 
< 0.1%
7 131
 
< 0.1%
8 17
 
< 0.1%
ValueCountFrequency (%)
0 3800362
68.7%
1 1290125
 
23.3%
2 322793
 
5.8%
3 90456
 
1.6%
4 22185
 
0.4%
ValueCountFrequency (%)
8 17
 
< 0.1%
7 131
 
< 0.1%
6 680
 
< 0.1%
5 4702
 
0.1%
4 22185
0.4%

B_9
Real number (ℝ)

Distinct5181777
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.189523687
Minimum6.726069923 × 10-9
Maximum27.42485809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:55.521870image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum6.726069923 × 10-9
5-th percentile0.001153234916
Q10.005752602359
median0.02587759495
Q30.3342966586
95-th percentile0.6512701213
Maximum27.42485809
Range27.42485809
Interquartile range (IQR)0.3285440563

Descriptive statistics

Standard deviation0.2862744331
Coefficient of variation (CV)1.510494216
Kurtosis174.9625092
Mean0.189523687
Median Absolute Deviation (MAD)0.02462202497
Skewness5.17868042
Sum1048340.988
Variance0.08195305616
MonotonicityNot monotonic
2023-03-29T23:49:55.683213image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6511778235 8
 
< 0.1%
0.643576622 7
 
< 0.1%
0.645372808 7
 
< 0.1%
0.6506940722 7
 
< 0.1%
0.644872725 7
 
< 0.1%
0.6525036097 7
 
< 0.1%
0.6453301907 7
 
< 0.1%
0.6306887269 6
 
< 0.1%
0.6268229485 6
 
< 0.1%
0.6331685185 6
 
< 0.1%
Other values (5181767) 5531383
> 99.9%
ValueCountFrequency (%)
6.726069923 × 10-91
< 0.1%
7.205206209 × 10-91
< 0.1%
7.369664434 × 10-91
< 0.1%
1.011431916 × 10-81
< 0.1%
1.525221549 × 10-81
< 0.1%
ValueCountFrequency (%)
27.42485809 1
< 0.1%
26.29394531 1
< 0.1%
26.260355 1
< 0.1%
25.98335457 1
< 0.1%
17.56619072 1
< 0.1%

R_3
Real number (ℝ)

Distinct91
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.158300598
Minimum0
Maximum116
Zeros2941959
Zeros (%)53.2%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:49:55.800896image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum116
Range116
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.104964946
Coefficient of variation (CV)1.817287283
Kurtosis59.84744747
Mean1.158300598
Median Absolute Deviation (MAD)0
Skewness4.951776439
Sum6407083
Variance4.430877425
MonotonicityNot monotonic
2023-03-29T23:49:55.917148image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2941959
53.2%
1 1186424
21.4%
2 598785
 
10.8%
3 311504
 
5.6%
4 177800
 
3.2%
5 104005
 
1.9%
6 65570
 
1.2%
7 41740
 
0.8%
8 28493
 
0.5%
9 19515
 
0.4%
Other values (81) 55656
 
1.0%
ValueCountFrequency (%)
0 2941959
53.2%
1 1186424
21.4%
2 598785
 
10.8%
3 311504
 
5.6%
4 177800
 
3.2%
ValueCountFrequency (%)
116 1
< 0.1%
108 1
< 0.1%
103 1
< 0.1%
97 1
< 0.1%
94 1
< 0.1%

D_52
Real number (ℝ)

Distinct4949947
Distinct (%)90.0%
Missing29563
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.1800504188
Minimum-0.00708310958
Maximum1.00999999
Zeros0
Zeros (%)0.0%
Negative14550
Negative (%)0.3%
Memory size63.3 MiB
2023-03-29T23:49:56.077887image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.00708310958
5-th percentile0.02024093019
Q10.0738747213
median0.1444321424
Q30.2331460454
95-th percentile0.4446403429
Maximum1.00999999
Range1.0170831
Interquartile range (IQR)0.1592713241

Descriptive statistics

Standard deviation0.1738649011
Coefficient of variation (CV)0.9656456351
Kurtosis10.74841213
Mean0.1800504188
Median Absolute Deviation (MAD)0.07595019042
Skewness2.902368069
Sum990617.2388
Variance0.0302290041
MonotonicityNot monotonic
2023-03-29T23:49:56.195191image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.007328153 9
 
< 0.1%
1.005295515 9
 
< 0.1%
1.001363397 9
 
< 0.1%
1.007866383 9
 
< 0.1%
1.001353025 9
 
< 0.1%
1.000641704 9
 
< 0.1%
1.0006001 9
 
< 0.1%
1.002664566 8
 
< 0.1%
1.002282619 8
 
< 0.1%
1.007454515 8
 
< 0.1%
Other values (4949937) 5501801
99.5%
(Missing) 29563
 
0.5%
ValueCountFrequency (%)
-0.00708310958 1
< 0.1%
-0.007038856857 1
< 0.1%
-0.007030719891 1
< 0.1%
-0.007025061641 1
< 0.1%
-0.007016962394 1
< 0.1%
ValueCountFrequency (%)
1.00999999 1
 
< 0.1%
1.009999871 1
 
< 0.1%
1.009999752 3
< 0.1%
1.009999633 2
< 0.1%
1.009999514 1
 
< 0.1%

P_3
Real number (ℝ)

Distinct3816101
Distinct (%)73.0%
Missing301492
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean0.6012885979
Minimum-1.519689679
Maximum2.428050995
Zeros0
Zeros (%)0.0%
Negative50981
Negative (%)0.9%
Memory size63.3 MiB
2023-03-29T23:49:56.346211image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1.519689679
5-th percentile0.3070363611
Q10.5408657193
median0.6183025241
Q30.6838263869
95-th percentile0.8313081324
Maximum2.428050995
Range3.947740674
Interquartile range (IQR)0.1429606676

Descriptive statistics

Standard deviation0.1707991511
Coefficient of variation (CV)0.2840551969
Kurtosis6.643670559
Mean0.6012885979
Median Absolute Deviation (MAD)0.07067227364
Skewness-1.163761616
Sum3144714.714
Variance0.02917235158
MonotonicityNot monotonic
2023-03-29T23:49:56.462361image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.612016499 9
 
< 0.1%
0.6149245501 9
 
< 0.1%
0.6145778894 9
 
< 0.1%
0.6515907645 9
 
< 0.1%
0.6145548224 9
 
< 0.1%
0.6146153212 9
 
< 0.1%
0.6120173931 9
 
< 0.1%
0.6375452876 9
 
< 0.1%
0.6120260954 9
 
< 0.1%
0.5851942897 9
 
< 0.1%
Other values (3816091) 5229869
94.5%
(Missing) 301492
 
5.5%
ValueCountFrequency (%)
-1.519689679 1
< 0.1%
-1.29890132 1
< 0.1%
-1.290211558 1
< 0.1%
-1.266379714 1
< 0.1%
-1.259036899 1
< 0.1%
ValueCountFrequency (%)
2.428050995 1
< 0.1%
2.353486538 1
< 0.1%
2.301319122 1
< 0.1%
2.233686924 1
< 0.1%
2.139391184 1
< 0.1%

B_10
Real number (ℝ)

Distinct4190332
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2316002514
Minimum-0.002958481433
Maximum4097.440918
Zeros0
Zeros (%)0.0%
Negative12295
Negative (%)0.2%
Memory size63.3 MiB
2023-03-29T23:49:56.623143image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.002958481433
5-th percentile0.01010000659
Q10.02899069898
median0.1105554104
Q30.2955389023
95-th percentile0.3080406934
Maximum4097.440918
Range4097.443876
Interquartile range (IQR)0.2665482033

Descriptive statistics

Standard deviation4.799846172
Coefficient of variation (CV)20.72470191
Kurtosis236695.6719
Mean0.2316002514
Median Absolute Deviation (MAD)0.09776753932
Skewness376.0100708
Sum1281085.442
Variance23.03852272
MonotonicityNot monotonic
2023-03-29T23:49:56.734014image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3017167151 16
 
< 0.1%
0.2992656827 16
 
< 0.1%
0.2940787077 16
 
< 0.1%
0.2939037383 15
 
< 0.1%
0.2955553532 15
 
< 0.1%
0.2937351763 15
 
< 0.1%
0.294498235 15
 
< 0.1%
0.300355047 15
 
< 0.1%
0.2998524904 15
 
< 0.1%
0.3006784618 15
 
< 0.1%
Other values (4190322) 5531298
> 99.9%
ValueCountFrequency (%)
-0.002958481433 1
< 0.1%
-0.002958413213 1
< 0.1%
-0.002957859077 1
< 0.1%
-0.002957824152 1
< 0.1%
-0.002957650926 1
< 0.1%
ValueCountFrequency (%)
4097.440918 1
< 0.1%
4097.432617 1
< 0.1%
2103.255859 1
< 0.1%
1877.52124 1
< 0.1%
1860.059326 1
< 0.1%

D_53
Real number (ℝ)

Distinct1428989
Distinct (%)98.8%
Missing4084585
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean0.07618341273
Minimum5.6781289 × 10-8
Maximum7.901938915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:56.865961image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5.6781289 × 10-8
5-th percentile0.00136992702
Q10.006171486108
median0.01337967999
Q30.04987848736
95-th percentile0.3679226264
Maximum7.901938915
Range7.901938858
Interquartile range (IQR)0.04370700126

Descriptive statistics

Standard deviation0.2026925683
Coefficient of variation (CV)2.660586616
Kurtosis77.33221436
Mean0.07618341273
Median Absolute Deviation (MAD)0.01008768473
Skewness6.891425133
Sum110227.1896
Variance0.04108427465
MonotonicityNot monotonic
2023-03-29T23:49:56.982933image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009643997066 4
 
< 0.1%
0.00823080074 4
 
< 0.1%
0.009450657293 4
 
< 0.1%
0.008444028907 3
 
< 0.1%
0.008382049389 3
 
< 0.1%
0.008504445665 3
 
< 0.1%
0.009652376175 3
 
< 0.1%
0.02344187722 3
 
< 0.1%
0.0104524577 3
 
< 0.1%
0.008516986854 3
 
< 0.1%
Other values (1428979) 1446833
 
26.2%
(Missing) 4084585
73.8%
ValueCountFrequency (%)
5.6781289 × 10-81
< 0.1%
6.371255523 × 10-81
< 0.1%
6.53033041 × 10-81
< 0.1%
1.134726233 × 10-71
< 0.1%
1.220821275 × 10-71
< 0.1%
ValueCountFrequency (%)
7.901938915 1
< 0.1%
7.109792709 1
< 0.1%
6.96927166 1
< 0.1%
6.792266369 1
< 0.1%
6.533797264 1
< 0.1%

S_5
Real number (ℝ)

Distinct5290271
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08810534011
Minimum8.168134613 × 10-9
Maximum206.8752747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:57.272176image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum8.168134613 × 10-9
5-th percentile0.00120088621
Q10.005636076909
median0.01352057327
Q30.07132089511
95-th percentile0.3645540327
Maximum206.8752747
Range206.8752747
Interquartile range (IQR)0.0656848182

Descriptive statistics

Standard deviation0.4074049592
Coefficient of variation (CV)4.624066585
Kurtosis26716.31055
Mean0.08810534011
Median Absolute Deviation (MAD)0.01156213414
Skewness102.2197876
Sum487350.3717
Variance0.1659788042
MonotonicityNot monotonic
2023-03-29T23:49:57.383559image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.008352930658 6
 
< 0.1%
0.008166162297 5
 
< 0.1%
0.004509234801 5
 
< 0.1%
0.008278066292 5
 
< 0.1%
0.008281161077 5
 
< 0.1%
0.009955909103 5
 
< 0.1%
0.008430899121 5
 
< 0.1%
0.009826525114 5
 
< 0.1%
0.00584454136 5
 
< 0.1%
0.00850620959 5
 
< 0.1%
Other values (5290261) 5531400
> 99.9%
ValueCountFrequency (%)
8.168134613 × 10-91
< 0.1%
1.10123235 × 10-81
< 0.1%
1.403330607 × 10-81
< 0.1%
1.803506322 × 10-81
< 0.1%
2.377511699 × 10-81
< 0.1%
ValueCountFrequency (%)
206.8752747 1
< 0.1%
143.342041 1
< 0.1%
129.2759857 1
< 0.1%
120.4324112 1
< 0.1%
109.9364395 1
< 0.1%

B_11
Real number (ℝ)

Distinct5309099
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1109684993
Minimum2.01781365 × 10-8
Maximum1.970374823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:57.542984image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.01781365 × 10-8
5-th percentile0.001528369728
Q10.006602670066
median0.01945132576
Q30.101970844
95-th percentile0.5779626369
Maximum1.970374823
Range1.970374802
Interquartile range (IQR)0.0953681739

Descriptive statistics

Standard deviation0.2082562894
Coefficient of variation (CV)1.876715381
Kurtosis9.583909035
Mean0.1109684993
Median Absolute Deviation (MAD)0.01654362865
Skewness2.929946899
Sum613816.8163
Variance0.04337068275
MonotonicityNot monotonic
2023-03-29T23:49:57.667877image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1669524014 6
 
< 0.1%
0.008026964031 5
 
< 0.1%
0.009830636904 5
 
< 0.1%
0.009236394428 5
 
< 0.1%
0.004638542887 5
 
< 0.1%
0.009785097092 5
 
< 0.1%
0.009225334972 5
 
< 0.1%
0.008569316939 5
 
< 0.1%
0.009087062441 5
 
< 0.1%
0.008009873331 5
 
< 0.1%
Other values (5309089) 5531400
> 99.9%
ValueCountFrequency (%)
2.01781365 × 10-81
< 0.1%
2.36627713 × 10-81
< 0.1%
3.508345969 × 10-81
< 0.1%
3.709072161 × 10-81
< 0.1%
3.717132202 × 10-81
< 0.1%
ValueCountFrequency (%)
1.970374823 1
< 0.1%
1.767753363 1
< 0.1%
1.70604372 1
< 0.1%
1.680078506 1
< 0.1%
1.675415754 1
< 0.1%

S_6
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.239192212
Minimum0
Maximum1
Zeros4208371
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:49:57.766164image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4265903545
Coefficient of variation (CV)1.78346256
Kurtosis-0.5048688119
Mean0.239192212
Median Absolute Deviation (MAD)0
Skewness1.222755646
Sum1323080
Variance0.1819793306
MonotonicityNot monotonic
2023-03-29T23:49:57.842893image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 4208371
76.1%
1 1323080
 
23.9%
ValueCountFrequency (%)
0 4208371
76.1%
1 1323080
 
23.9%
ValueCountFrequency (%)
1 1323080
 
23.9%
0 4208371
76.1%

D_54
Real number (ℝ)

Distinct112645
Distinct (%)2.0%
Missing2016
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.979742915
Minimum-0.002005766612
Maximum1
Zeros0
Zeros (%)0.0%
Negative8088
Negative (%)0.1%
Memory size63.3 MiB
2023-03-29T23:49:57.944419image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.002005766612
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1.002005767
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1403702348
Coefficient of variation (CV)0.1432725184
Kurtosis44.04298401
Mean0.979742915
Median Absolute Deviation (MAD)0
Skewness-6.785371304
Sum5417424.765
Variance0.01970380358
MonotonicityNot monotonic
2023-03-29T23:49:58.066741image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5416625
97.9%
0.006524174474 2
 
< 0.1%
0.01652746648 2
 
< 0.1%
0.01183852646 2
 
< 0.1%
0.005101189017 2
 
< 0.1%
0.005261711776 2
 
< 0.1%
0.0195293799 2
 
< 0.1%
0.006343488581 2
 
< 0.1%
0.00524878595 2
 
< 0.1%
0.009289890528 2
 
< 0.1%
Other values (112635) 112792
 
2.0%
(Missing) 2016
 
< 0.1%
ValueCountFrequency (%)
-0.002005766612 1
< 0.1%
-0.002005684422 1
< 0.1%
-0.002005046932 1
< 0.1%
-0.002004310722 1
< 0.1%
-0.002004264854 1
< 0.1%
ValueCountFrequency (%)
1 5416625
97.9%
0.02503949031 1
 
< 0.1%
0.02503869496 1
 
< 0.1%
0.02503511123 1
 
< 0.1%
0.02503312565 1
 
< 0.1%

R_4
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02620505903
Minimum0
Maximum1
Zeros5386499
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:49:58.163232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1597446667
Coefficient of variation (CV)6.095947598
Kurtosis33.18751172
Mean0.02620505903
Median Absolute Deviation (MAD)0
Skewness5.931905236
Sum144952
Variance0.02551835853
MonotonicityNot monotonic
2023-03-29T23:49:58.235813image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5386499
97.4%
1 144952
 
2.6%
ValueCountFrequency (%)
0 5386499
97.4%
1 144952
 
2.6%
ValueCountFrequency (%)
1 144952
 
2.6%
0 5386499
97.4%

S_7
Real number (ℝ)

Distinct4185390
Distinct (%)92.8%
Missing1020544
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean0.2231379991
Minimum-0.4701317549
Maximum3.948271275
Zeros0
Zeros (%)0.0%
Negative37647
Negative (%)0.7%
Memory size63.3 MiB
2023-03-29T23:49:58.370792image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.4701317549
5-th percentile0.04737685584
Q10.09372874349
median0.1397011429
Q30.2954591811
95-th percentile0.6305701375
Maximum3.948271275
Range4.418403029
Interquartile range (IQR)0.2017304376

Descriptive statistics

Standard deviation0.2063030154
Coefficient of variation (CV)0.9245534879
Kurtosis8.147181511
Mean0.2231379991
Median Absolute Deviation (MAD)0.06730558723
Skewness2.303467274
Sum1006554.762
Variance0.0425609313
MonotonicityNot monotonic
2023-03-29T23:49:58.480424image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1086817756 6
 
< 0.1%
0.1061981916 6
 
< 0.1%
0.108495295 6
 
< 0.1%
0.1061604172 6
 
< 0.1%
0.1126230806 5
 
< 0.1%
0.09702967852 5
 
< 0.1%
0.09879355133 5
 
< 0.1%
0.08844865113 5
 
< 0.1%
0.1003657728 5
 
< 0.1%
0.1096709296 5
 
< 0.1%
Other values (4185380) 4510853
81.5%
(Missing) 1020544
 
18.4%
ValueCountFrequency (%)
-0.4701317549 1
< 0.1%
-0.405592531 1
< 0.1%
-0.4021089673 1
< 0.1%
-0.3972370923 1
< 0.1%
-0.3856807947 1
< 0.1%
ValueCountFrequency (%)
3.948271275 1
< 0.1%
3.798006058 1
< 0.1%
3.711649895 1
< 0.1%
3.700176954 1
< 0.1%
3.609261751 1
< 0.1%

B_12
Real number (ℝ)

Distinct5193313
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09369956193
Minimum3.343623689 × 10-8
Maximum420.7489929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:58.639389image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3.343623689 × 10-8
5-th percentile0.006243880838
Q10.01086972328
median0.01944087073
Q30.06913838536
95-th percentile0.3282437027
Maximum420.7489929
Range420.7489929
Interquartile range (IQR)0.05826866208

Descriptive statistics

Standard deviation0.8204271793
Coefficient of variation (CV)8.755933992
Kurtosis147726.1562
Mean0.09369956193
Median Absolute Deviation (MAD)0.01195953973
Skewness318.7443237
Sum518294.5355
Variance0.6731007695
MonotonicityNot monotonic
2023-03-29T23:49:58.749491image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.006049514748 5
 
< 0.1%
0.008317637257 5
 
< 0.1%
0.01407666411 5
 
< 0.1%
0.008843502961 5
 
< 0.1%
0.01528994367 5
 
< 0.1%
0.00922170002 5
 
< 0.1%
0.0117006423 5
 
< 0.1%
0.01265539229 5
 
< 0.1%
0.01115395781 5
 
< 0.1%
0.01459404267 5
 
< 0.1%
Other values (5193303) 5531401
> 99.9%
ValueCountFrequency (%)
3.343623689 × 10-81
< 0.1%
1.221753081 × 10-71
< 0.1%
1.41993354 × 10-71
< 0.1%
2.417214375 × 10-71
< 0.1%
2.757953439 × 10-71
< 0.1%
ValueCountFrequency (%)
420.7489929 1
< 0.1%
418.7930908 1
< 0.1%
417.3642883 1
< 0.1%
417.3630066 1
< 0.1%
415.5922241 1
< 0.1%

S_8
Real number (ℝ)

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1021.351741
Minimum0
Maximum3867
Zeros1808480
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size52.8 MiB
2023-03-29T23:49:58.856334image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median996
Q31544
95-th percentile2694
Maximum3867
Range3867
Interquartile range (IQR)1544

Descriptive statistics

Standard deviation959.5373644
Coefficient of variation (CV)0.9394778765
Kurtosis-0.7218534596
Mean1021.351741
Median Absolute Deviation (MAD)996
Skewness0.5655847437
Sum5649557107
Variance920711.9537
MonotonicityNot monotonic
2023-03-29T23:49:59.059477image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 1808480
32.7%
1021 445450
 
8.1%
2380 381129
 
6.9%
528 372867
 
6.7%
996 359139
 
6.5%
1544 275378
 
5.0%
2218 173625
 
3.1%
1511 158021
 
2.9%
2096 155361
 
2.8%
1454 150134
 
2.7%
Other values (22) 1251867
22.6%
ValueCountFrequency (%)
0 1808480
32.7%
322 129255
 
2.3%
379 117556
 
2.1%
528 372867
 
6.7%
772 80979
 
1.5%
ValueCountFrequency (%)
3867 4825
 
0.1%
3647 14228
0.3%
3622 3594
 
0.1%
3499 11192
0.2%
3212 13857
0.3%

D_55
Real number (ℝ)

Distinct5082515
Distinct (%)95.1%
Missing184803
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean0.2980904988
Minimum2.353217887 × 10-8
Maximum2.767758846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:59.216405image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.353217887 × 10-8
5-th percentile0.007778139994
Q10.05701688956
median0.1816685423
Q30.5012073219
95-th percentile0.8749348313
Maximum2.767758846
Range2.767758823
Interquartile range (IQR)0.4441904323

Descriptive statistics

Standard deviation0.2887424231
Coefficient of variation (CV)0.9686401418
Kurtosis-0.3888504207
Mean0.2980904988
Median Absolute Deviation (MAD)0.1547700763
Skewness0.8935594559
Sum1593784.969
Variance0.08337219059
MonotonicityNot monotonic
2023-03-29T23:49:59.325756image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1103764772 5
 
< 0.1%
0.6921911836 5
 
< 0.1%
0.6883670688 5
 
< 0.1%
0.9094871283 5
 
< 0.1%
0.5951805711 5
 
< 0.1%
0.5767567754 5
 
< 0.1%
0.6944740415 5
 
< 0.1%
0.2667307258 5
 
< 0.1%
0.619374156 5
 
< 0.1%
0.8691754937 5
 
< 0.1%
Other values (5082505) 5346598
96.7%
(Missing) 184803
 
3.3%
ValueCountFrequency (%)
2.353217887 × 10-81
< 0.1%
4.716145341 × 10-81
< 0.1%
8.861864131 × 10-81
< 0.1%
9.216606855 × 10-81
< 0.1%
1.082031389 × 10-71
< 0.1%
ValueCountFrequency (%)
2.767758846 1
< 0.1%
2.755997181 1
< 0.1%
2.736358404 1
< 0.1%
2.73523736 1
< 0.1%
2.71840167 1
< 0.1%

D_56
Real number (ℝ)

Distinct2446769
Distinct (%)96.3%
Missing2990943
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean0.2037094455
Minimum-0.01708914712
Maximum10.95651436
Zeros0
Zeros (%)0.0%
Negative16103
Negative (%)0.3%
Memory size63.3 MiB
2023-03-29T23:49:59.468714image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.01708914712
5-th percentile0.03156751394
Q10.08700978942
median0.1494289935
Q30.2496251911
95-th percentile0.5487648726
Maximum10.95651436
Range10.97360351
Interquartile range (IQR)0.1626154017

Descriptive statistics

Standard deviation0.2121586204
Coefficient of variation (CV)1.041476598
Kurtosis154.4017181
Mean0.2037094455
Median Absolute Deviation (MAD)0.07369366288
Skewness6.901929379
Sum517525.4761
Variance0.04501128197
MonotonicityNot monotonic
2023-03-29T23:49:59.582894image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08437542617 4
 
< 0.1%
0.1393425763 4
 
< 0.1%
0.1358670145 4
 
< 0.1%
0.2510247827 4
 
< 0.1%
0.1680600047 4
 
< 0.1%
0.1647800803 4
 
< 0.1%
0.08256090432 4
 
< 0.1%
0.1261335462 4
 
< 0.1%
0.1327812672 4
 
< 0.1%
0.1427318156 4
 
< 0.1%
Other values (2446759) 2540468
45.9%
(Missing) 2990943
54.1%
ValueCountFrequency (%)
-0.01708914712 1
< 0.1%
-0.01704956032 1
< 0.1%
-0.01699429005 1
< 0.1%
-0.01698373072 1
< 0.1%
-0.01687784865 1
< 0.1%
ValueCountFrequency (%)
10.95651436 1
< 0.1%
10.95281601 1
< 0.1%
10.95009995 1
< 0.1%
10.87385178 1
< 0.1%
10.37802029 1
< 0.1%

B_13
Real number (ℝ)

Distinct5249059
Distinct (%)95.8%
Missing49519
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean0.1007155227
Minimum1.905850411 × 10-8
Maximum276.1778259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:49:59.756496image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.905850411 × 10-8
5-th percentile0.002531206456
Q10.009255422046
median0.02931426186
Q30.0894148685
95-th percentile0.3495630383
Maximum276.1778259
Range276.1778259
Interquartile range (IQR)0.08015944646

Descriptive statistics

Standard deviation0.5593839288
Coefficient of variation (CV)5.554098454
Kurtosis66275.21094
Mean0.1007155227
Median Absolute Deviation (MAD)0.02360873297
Skewness177.8151855
Sum552115.6467
Variance0.312910378
MonotonicityNot monotonic
2023-03-29T23:49:59.865445image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009821516462 5
 
< 0.1%
0.05996998399 5
 
< 0.1%
0.04822455719 5
 
< 0.1%
0.009708781727 4
 
< 0.1%
0.008383266628 4
 
< 0.1%
0.0314678289 4
 
< 0.1%
0.0217404142 4
 
< 0.1%
0.08825494349 4
 
< 0.1%
0.009899933822 4
 
< 0.1%
0.04339655489 4
 
< 0.1%
Other values (5249049) 5481889
99.1%
(Missing) 49519
 
0.9%
ValueCountFrequency (%)
1.905850411 × 10-81
< 0.1%
2.131900168 × 10-81
< 0.1%
3.274646687 × 10-81
< 0.1%
5.3773622 × 10-81
< 0.1%
5.476347553 × 10-81
< 0.1%
ValueCountFrequency (%)
276.1778259 1
< 0.1%
276.1773376 1
< 0.1%
276.1753235 1
< 0.1%
243.2958374 1
< 0.1%
234.7293396 1
< 0.1%

R_5
Real number (ℝ)

Distinct47
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05918645939
Minimum0
Maximum70
Zeros5374133
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:49:59.991839image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum70
Range70
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5135825418
Coefficient of variation (CV)8.677365516
Kurtosis657.8762988
Mean0.05918645939
Median Absolute Deviation (MAD)0
Skewness19.02008505
Sum327387
Variance0.2637670272
MonotonicityNot monotonic
2023-03-29T23:50:00.128963image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 5374133
97.2%
1 95256
 
1.7%
2 28346
 
0.5%
3 12518
 
0.2%
4 6916
 
0.1%
5 4338
 
0.1%
6 2795
 
0.1%
7 1961
 
< 0.1%
8 1388
 
< 0.1%
9 972
 
< 0.1%
Other values (37) 2828
 
0.1%
ValueCountFrequency (%)
0 5374133
97.2%
1 95256
 
1.7%
2 28346
 
0.5%
3 12518
 
0.2%
4 6916
 
0.1%
ValueCountFrequency (%)
70 1
< 0.1%
61 1
< 0.1%
48 1
< 0.1%
47 1
< 0.1%
43 1
< 0.1%

D_58
Real number (ℝ)

Distinct5256972
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2155311891
Minimum4.968945255 × 10-9
Maximum1.261945128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:00.598569image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4.968945255 × 10-9
5-th percentile0.00117313792
Q10.005858120276
median0.1065893397
Q30.3726992309
95-th percentile0.7487339377
Maximum1.261945128
Range1.261945123
Interquartile range (IQR)0.3668411106

Descriptive statistics

Standard deviation0.260440439
Coefficient of variation (CV)1.208365435
Kurtosis0.7605295181
Mean0.2155311891
Median Absolute Deviation (MAD)0.1038870588
Skewness1.224803925
Sum1192200.211
Variance0.06782922894
MonotonicityNot monotonic
2023-03-29T23:50:00.754975image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009188235737 6
 
< 0.1%
0.007834714837 5
 
< 0.1%
0.4344170094 5
 
< 0.1%
0.007842613384 5
 
< 0.1%
0.5801893473 5
 
< 0.1%
0.009475283325 5
 
< 0.1%
0.008670778945 5
 
< 0.1%
0.008459154516 5
 
< 0.1%
0.008099889383 5
 
< 0.1%
0.5688411593 4
 
< 0.1%
Other values (5256962) 5531401
> 99.9%
ValueCountFrequency (%)
4.968945255 × 10-91
< 0.1%
5.133326653 × 10-91
< 0.1%
5.494804611 × 10-91
< 0.1%
5.926659163 × 10-91
< 0.1%
7.287331183 × 10-91
< 0.1%
ValueCountFrequency (%)
1.261945128 1
< 0.1%
1.261935353 1
< 0.1%
1.261927009 1
< 0.1%
1.261923313 1
< 0.1%
1.261884689 1
< 0.1%

S_9
Real number (ℝ)

Distinct2531874
Distinct (%)97.5%
Missing2933643
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean0.07441472203
Minimum2.823498164 × 10-7
Maximum2.839634657
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:00.903839image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.823498164 × 10-7
5-th percentile0.003740290529
Q10.009789101314
median0.01949361898
Q30.05322812032
95-th percentile0.3098003343
Maximum2.839634657
Range2.839634375
Interquartile range (IQR)0.04343901901

Descriptive statistics

Standard deviation0.195997715
Coefficient of variation (CV)2.633856711
Kurtosis62.45925522
Mean0.07441472203
Median Absolute Deviation (MAD)0.01261014119
Skewness6.888157368
Sum193315.1602
Variance0.03841510415
MonotonicityNot monotonic
2023-03-29T23:50:01.014473image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009503385983 5
 
< 0.1%
0.04079585522 5
 
< 0.1%
0.007069455925 4
 
< 0.1%
0.01679864712 4
 
< 0.1%
0.01072997507 4
 
< 0.1%
0.01892191544 4
 
< 0.1%
0.03234027699 4
 
< 0.1%
0.009343002923 4
 
< 0.1%
0.009345256723 4
 
< 0.1%
0.01843347587 4
 
< 0.1%
Other values (2531864) 2597766
47.0%
(Missing) 2933643
53.0%
ValueCountFrequency (%)
2.823498164 × 10-71
< 0.1%
4.45988718 × 10-71
< 0.1%
6.71350449 × 10-71
< 0.1%
8.034449479 × 10-71
< 0.1%
1.204249088 × 10-61
< 0.1%
ValueCountFrequency (%)
2.839634657 1
< 0.1%
2.83962369 1
< 0.1%
2.839594126 1
< 0.1%
2.839586258 1
< 0.1%
2.839584827 1
< 0.1%

B_14
Real number (ℝ)

Distinct5309932
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.101154592
Minimum-8.469853401
Maximum55.01151657
Zeros0
Zeros (%)0.0%
Negative12606
Negative (%)0.2%
Memory size63.3 MiB
2023-03-29T23:50:01.293775image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-8.469853401
5-th percentile0.001936367713
Q10.008151002694
median0.02849409357
Q30.1003195606
95-th percentile0.4089741856
Maximum55.01151657
Range63.48136997
Interquartile range (IQR)0.09216855792

Descriptive statistics

Standard deviation0.283583343
Coefficient of variation (CV)2.803464849
Kurtosis2409.020508
Mean0.101154592
Median Absolute Deviation (MAD)0.02400733158
Skewness29.44746971
Sum559531.6692
Variance0.0804195106
MonotonicityNot monotonic
2023-03-29T23:50:01.408524image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07694190741 5
 
< 0.1%
0.007858036086 5
 
< 0.1%
0.008262163028 5
 
< 0.1%
0.009156984277 5
 
< 0.1%
0.06384374946 5
 
< 0.1%
0.04132828489 5
 
< 0.1%
0.008270044811 5
 
< 0.1%
0.03294980153 5
 
< 0.1%
0.008249090053 5
 
< 0.1%
0.00813761726 5
 
< 0.1%
Other values (5309922) 5531401
> 99.9%
ValueCountFrequency (%)
-8.469853401 1
< 0.1%
-8.456786156 1
< 0.1%
-6.249470234 1
< 0.1%
-5.680852413 1
< 0.1%
-4.175951004 1
< 0.1%
ValueCountFrequency (%)
55.01151657 1
< 0.1%
48.00429535 1
< 0.1%
47.4716301 1
< 0.1%
45.00468445 1
< 0.1%
44.02370071 1
< 0.1%

D_59
Real number (ℝ)

Distinct104
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.70943067
Minimum-1
Maximum108
Zeros2
Zeros (%)< 0.1%
Negative106725
Negative (%)1.9%
Memory size47.5 MiB
2023-03-29T23:50:01.528401image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile7
Q116
median23
Q327
95-th percentile33
Maximum108
Range109
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.716249441
Coefficient of variation (CV)0.4475589244
Kurtosis2.853866479
Mean21.70943067
Median Absolute Deviation (MAD)5
Skewness0.652338625
Sum120084652
Variance94.40550319
MonotonicityNot monotonic
2023-03-29T23:50:01.650734image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 407994
 
7.4%
27 376111
 
6.8%
26 334655
 
6.1%
8 316048
 
5.7%
21 281208
 
5.1%
25 280663
 
5.1%
22 256271
 
4.6%
29 248833
 
4.5%
18 248590
 
4.5%
23 231415
 
4.2%
Other values (94) 2549663
46.1%
ValueCountFrequency (%)
-1 106725
1.9%
0 2
 
< 0.1%
1 3073
 
0.1%
2 1615
 
< 0.1%
3 1336
 
< 0.1%
ValueCountFrequency (%)
108 1
< 0.1%
107 1
< 0.1%
106 1
< 0.1%
103 1
< 0.1%
101 1
< 0.1%

D_60
Real number (ℝ)

Distinct4679920
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3761549687
Minimum5.905030243 × 10-9
Maximum1.00999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:01.827814image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5.905030243 × 10-9
5-th percentile0.002502024756
Q10.03227373026
median0.2353443652
Q30.7036912739
95-th percentile1.006297112
Maximum1.00999999
Range1.009999985
Interquartile range (IQR)0.6714175437

Descriptive statistics

Standard deviation0.3718324304
Coefficient of variation (CV)0.9885086236
Kurtosis-1.159028649
Mean0.3761549687
Median Absolute Deviation (MAD)0.2279647142
Skewness0.6203485727
Sum2080682.778
Variance0.1382593513
MonotonicityNot monotonic
2023-03-29T23:50:01.950906image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.004335046 26
 
< 0.1%
1.006112576 25
 
< 0.1%
1.005700588 24
 
< 0.1%
1.001557827 23
 
< 0.1%
1.007157683 23
 
< 0.1%
1.00607729 23
 
< 0.1%
1.008206487 23
 
< 0.1%
1.007290244 22
 
< 0.1%
1.00629425 22
 
< 0.1%
1.00535512 22
 
< 0.1%
Other values (4679910) 5531218
> 99.9%
ValueCountFrequency (%)
5.905030243 × 10-91
< 0.1%
1.709353192 × 10-81
< 0.1%
2.821079725 × 10-81
< 0.1%
3.169913754 × 10-81
< 0.1%
3.356853995 × 10-81
< 0.1%
ValueCountFrequency (%)
1.00999999 7
< 0.1%
1.009999871 15
< 0.1%
1.009999752 9
< 0.1%
1.009999633 8
< 0.1%
1.009999514 9
< 0.1%

D_61
Real number (ℝ)

MISSING  SKEWED 

Distinct4529133
Distinct (%)91.8%
Missing598052
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean0.4296291458
Minimum-0.009259018116
Maximum868.5154419
Zeros0
Zeros (%)0.0%
Negative37986
Negative (%)0.7%
Memory size63.3 MiB
2023-03-29T23:50:02.132110image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.009259018116
5-th percentile0.0129615617
Q10.09247558191
median0.3722664416
Q30.7745239735
95-th percentile0.9176950693
Maximum868.5154419
Range868.5247009
Interquartile range (IQR)0.6820483916

Descriptive statistics

Standard deviation0.5245268941
Coefficient of variation (CV)1.220882939
Kurtosis1520771.875
Mean0.4296291458
Median Absolute Deviation (MAD)0.3128543496
Skewness920.5194702
Sum2119531.998
Variance0.275128454
MonotonicityNot monotonic
2023-03-29T23:50:02.242751image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9077072144 8
 
< 0.1%
0.8983715177 8
 
< 0.1%
0.9075399637 7
 
< 0.1%
0.8802469969 7
 
< 0.1%
0.8988782167 7
 
< 0.1%
0.9078907967 7
 
< 0.1%
0.9077873826 7
 
< 0.1%
0.9170734882 7
 
< 0.1%
0.898532629 7
 
< 0.1%
0.8987519145 7
 
< 0.1%
Other values (4529123) 4933327
89.2%
(Missing) 598052
 
10.8%
ValueCountFrequency (%)
-0.009259018116 1
< 0.1%
-0.009259008802 1
< 0.1%
-0.00925895758 1
< 0.1%
-0.009258479811 1
< 0.1%
-0.009258081205 1
< 0.1%
ValueCountFrequency (%)
868.5154419 1
< 0.1%
46.41783524 1
< 0.1%
46.18982315 1
< 0.1%
45.4791832 1
< 0.1%
38.24090195 1
< 0.1%

B_15
Real number (ℝ)

Distinct5103912
Distinct (%)92.4%
Missing6923
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.05280756909
Minimum-10.00804806
Maximum65.03742981
Zeros0
Zeros (%)0.0%
Negative5399
Negative (%)0.1%
Memory size63.3 MiB
2023-03-29T23:50:02.495304image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-10.00804806
5-th percentile0.0006256225373
Q10.003139858309
median0.006234544562
Q30.009289616952
95-th percentile0.2299758472
Maximum65.03742981
Range75.04547787
Interquartile range (IQR)0.006149758643

Descriptive statistics

Standard deviation0.3005498052
Coefficient of variation (CV)5.691415271
Kurtosis3567.17041
Mean0.05280756909
Median Absolute Deviation (MAD)0.003074691631
Skewness38.5329628
Sum291736.8941
Variance0.09033019096
MonotonicityNot monotonic
2023-03-29T23:50:02.611966image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.008076701313 7
 
< 0.1%
0.009604639374 6
 
< 0.1%
0.0088912379 6
 
< 0.1%
0.008989989758 6
 
< 0.1%
0.00795667991 6
 
< 0.1%
0.009708253667 6
 
< 0.1%
0.00978568662 6
 
< 0.1%
0.008594915271 6
 
< 0.1%
0.009856848978 6
 
< 0.1%
0.009209133685 6
 
< 0.1%
Other values (5103902) 5524467
99.9%
(Missing) 6923
 
0.1%
ValueCountFrequency (%)
-10.00804806 1
< 0.1%
-9.994886398 1
< 0.1%
-6.72045517 1
< 0.1%
-4.721063614 1
< 0.1%
-3.574098587 1
< 0.1%
ValueCountFrequency (%)
65.03742981 1
< 0.1%
56.74432373 1
< 0.1%
56.12503433 1
< 0.1%
52.04713058 1
< 0.1%
51.17225266 1
< 0.1%

S_11
Real number (ℝ)

Distinct83
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.25834614
Minimum0
Maximum100
Zeros3529
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:02.753523image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q112
median12
Q316
95-th percentile23
Maximum100
Range100
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.774680403
Coefficient of variation (CV)0.3348691606
Kurtosis5.597062054
Mean14.25834614
Median Absolute Deviation (MAD)2
Skewness1.556286009
Sum78869343
Variance22.79757295
MonotonicityNot monotonic
2023-03-29T23:50:02.917080image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 1897968
34.3%
15 355360
 
6.4%
14 351133
 
6.3%
16 333841
 
6.0%
13 333268
 
6.0%
17 267425
 
4.8%
11 248031
 
4.5%
18 230951
 
4.2%
10 203970
 
3.7%
19 171176
 
3.1%
Other values (73) 1138328
20.6%
ValueCountFrequency (%)
0 3529
 
0.1%
1 3780
 
0.1%
2 3131
 
0.1%
3 8666
0.2%
4 18291
0.3%
ValueCountFrequency (%)
100 1
 
< 0.1%
82 2
< 0.1%
80 2
< 0.1%
79 1
 
< 0.1%
78 3
< 0.1%

D_62
Real number (ℝ)

Distinct4519358
Distinct (%)94.7%
Missing758161
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean0.1906617459
Minimum-0.002822134644
Maximum11.1009531
Zeros0
Zeros (%)0.0%
Negative4726
Negative (%)0.1%
Memory size63.3 MiB
2023-03-29T23:50:03.162794image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.002822134644
5-th percentile0.00930108116
Q10.03101255
median0.09443575516
Q30.2844872624
95-th percentile0.6491473377
Maximum11.1009531
Range11.10377524
Interquartile range (IQR)0.2534747124

Descriptive statistics

Standard deviation0.2302574366
Coefficient of variation (CV)1.207675066
Kurtosis51.70821762
Mean0.1906617459
Median Absolute Deviation (MAD)0.07792678475
Skewness3.376112938
Sum910083.8052
Variance0.05301848799
MonotonicityNot monotonic
2023-03-29T23:50:03.396777image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05439732969 6
 
< 0.1%
0.5467332006 6
 
< 0.1%
0.5473195314 6
 
< 0.1%
0.5450054407 6
 
< 0.1%
0.542942524 6
 
< 0.1%
0.5407841206 5
 
< 0.1%
0.5428894162 5
 
< 0.1%
0.5447757244 5
 
< 0.1%
0.5486339927 5
 
< 0.1%
0.5430942178 5
 
< 0.1%
Other values (4519348) 4773235
86.3%
(Missing) 758161
 
13.7%
ValueCountFrequency (%)
-0.002822134644 1
< 0.1%
-0.002601643093 1
< 0.1%
-0.002526198514 1
< 0.1%
-0.00237322459 1
< 0.1%
-0.002319997177 1
< 0.1%
ValueCountFrequency (%)
11.1009531 1
< 0.1%
11.09920406 1
< 0.1%
11.09573269 1
< 0.1%
11.09495354 1
< 0.1%
10.85985851 1
< 0.1%

D_63
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.566080039
Minimum0
Maximum5
Zeros930133
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:03.489417image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.195801566
Coefficient of variation (CV)0.4660032218
Kurtosis0.7779462314
Mean2.566080039
Median Absolute Deviation (MAD)0
Skewness-1.489467833
Sum14194146
Variance1.429941385
MonotonicityNot monotonic
2023-03-29T23:50:03.563685image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 4119621
74.5%
0 930133
 
16.8%
4 438390
 
7.9%
1 25786
 
0.5%
2 10556
 
0.2%
5 6965
 
0.1%
ValueCountFrequency (%)
0 930133
 
16.8%
1 25786
 
0.5%
2 10556
 
0.2%
3 4119621
74.5%
4 438390
 
7.9%
ValueCountFrequency (%)
5 6965
 
0.1%
4 438390
 
7.9%
3 4119621
74.5%
2 10556
 
0.2%
1 25786
 
0.5%

D_64
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.097421093
Minimum-1
Maximum3
Zeros2913244
Zeros (%)52.7%
Negative217442
Negative (%)3.9%
Memory size47.5 MiB
2023-03-29T23:50:03.637982image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q33
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.388510213
Coefficient of variation (CV)1.265248337
Kurtosis-1.591829306
Mean1.097421093
Median Absolute Deviation (MAD)0
Skewness0.3547480353
Sum6070331
Variance1.927960611
MonotonicityNot monotonic
2023-03-29T23:50:03.714178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 2913244
52.7%
3 1523448
27.5%
2 840112
 
15.2%
-1 217442
 
3.9%
1 37205
 
0.7%
ValueCountFrequency (%)
-1 217442
 
3.9%
0 2913244
52.7%
1 37205
 
0.7%
2 840112
 
15.2%
3 1523448
27.5%
ValueCountFrequency (%)
3 1523448
27.5%
2 840112
 
15.2%
1 37205
 
0.7%
0 2913244
52.7%
-1 217442
 
3.9%

D_65
Real number (ℝ)

SKEWED  ZEROS 

Distinct775
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.321066389
Minimum0
Maximum14664
Zeros5293716
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size52.8 MiB
2023-03-29T23:50:03.820625image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14664
Range14664
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.97741715
Coefficient of variation (CV)13.6082617
Kurtosis152084.2965
Mean1.321066389
Median Absolute Deviation (MAD)0
Skewness259.7397932
Sum7307414
Variance323.1875275
MonotonicityNot monotonic
2023-03-29T23:50:03.937241image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5293716
95.7%
1 14699
 
0.3%
7 13888
 
0.3%
2 13288
 
0.2%
3 11919
 
0.2%
4 10790
 
0.2%
5 9537
 
0.2%
6 8506
 
0.2%
8 7089
 
0.1%
9 6142
 
0.1%
Other values (765) 141877
 
2.6%
ValueCountFrequency (%)
0 5293716
95.7%
1 14699
 
0.3%
2 13288
 
0.2%
3 11919
 
0.2%
4 10790
 
0.2%
ValueCountFrequency (%)
14664 1
< 0.1%
12550 1
< 0.1%
7762 1
< 0.1%
7000 1
< 0.1%
6623 1
< 0.1%

B_16
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.122231038
Minimum-1
Maximum12
Zeros2216009
Zeros (%)40.1%
Negative2016
Negative (%)< 0.1%
Memory size47.5 MiB
2023-03-29T23:50:04.037225image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median1
Q39
95-th percentile12
Maximum12
Range13
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.828298771
Coefficient of variation (CV)1.171282911
Kurtosis-1.235721767
Mean4.122231038
Median Absolute Deviation (MAD)1
Skewness0.6944455769
Sum22801919
Variance23.31246902
MonotonicityNot monotonic
2023-03-29T23:50:04.123349image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 2216009
40.1%
12 1016667
18.4%
1 652732
 
11.8%
2 292018
 
5.3%
3 186783
 
3.4%
11 171343
 
3.1%
4 152689
 
2.8%
10 147404
 
2.7%
5 145883
 
2.6%
7 142342
 
2.6%
Other values (4) 407581
 
7.4%
ValueCountFrequency (%)
-1 2016
 
< 0.1%
0 2216009
40.1%
1 652732
 
11.8%
2 292018
 
5.3%
3 186783
 
3.4%
ValueCountFrequency (%)
12 1016667
18.4%
11 171343
 
3.1%
10 147404
 
2.7%
9 137292
 
2.5%
8 133085
 
2.4%

B_17
Real number (ℝ)

Distinct1592707
Distinct (%)66.5%
Missing3137598
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean0.7152395229
Minimum3.774555069 × 10-8
Maximum1.00999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:04.241226image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3.774555069 × 10-8
5-th percentile0.002846073359
Q10.4800440669
median0.9320872426
Q31.002225161
95-th percentile1.008441448
Maximum1.00999999
Range1.009999953
Interquartile range (IQR)0.5221810937

Descriptive statistics

Standard deviation0.3866728544
Coefficient of variation (CV)0.5406200888
Kurtosis-0.628426373
Mean0.7152395229
Median Absolute Deviation (MAD)0.07432693243
Skewness-1.048853278
Sum1712178.278
Variance0.149515897
MonotonicityNot monotonic
2023-03-29T23:50:04.357595image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.007716179 25
 
< 0.1%
1.004417658 24
 
< 0.1%
1.00293839 24
 
< 0.1%
1.008035779 24
 
< 0.1%
1.005506873 24
 
< 0.1%
1.00929606 23
 
< 0.1%
1.00821197 23
 
< 0.1%
1.001682281 23
 
< 0.1%
1.004043698 23
 
< 0.1%
1.0003618 23
 
< 0.1%
Other values (1592697) 2393617
43.3%
(Missing) 3137598
56.7%
ValueCountFrequency (%)
3.774555069 × 10-81
< 0.1%
8.498547288 × 10-81
< 0.1%
1.132025602 × 10-71
< 0.1%
1.558113212 × 10-71
< 0.1%
1.663164255 × 10-71
< 0.1%
ValueCountFrequency (%)
1.00999999 5
< 0.1%
1.009999871 7
< 0.1%
1.009999752 7
< 0.1%
1.009999633 5
< 0.1%
1.009999514 12
< 0.1%

B_18
Real number (ℝ)

Distinct2603059
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5943787928
Minimum5.891221733 × 10-8
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:04.496336image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5.891221733 × 10-8
5-th percentile0.05626732856
Q10.2067308128
median0.6466325521
Q31
95-th percentile1
Maximum1
Range0.9999999411
Interquartile range (IQR)0.7932691872

Descriptive statistics

Standard deviation0.3635274768
Coefficient of variation (CV)0.6116090971
Kurtosis-1.526234269
Mean0.5943787928
Median Absolute Deviation (MAD)0.3533674479
Skewness-0.1578339487
Sum3287777.168
Variance0.1321522295
MonotonicityNot monotonic
2023-03-29T23:50:04.613416image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2057337
37.2%
0.6524889469 12
 
< 0.1%
0.6546301246 12
 
< 0.1%
0.5851917863 11
 
< 0.1%
0.6880373359 11
 
< 0.1%
0.6540918946 11
 
< 0.1%
0.6912689209 11
 
< 0.1%
0.6478352547 11
 
< 0.1%
0.6477078199 11
 
< 0.1%
0.645062685 11
 
< 0.1%
Other values (2603049) 3474013
62.8%
ValueCountFrequency (%)
5.891221733 × 10-81
< 0.1%
8.547869612 × 10-81
< 0.1%
1.096569449 × 10-71
< 0.1%
1.688393638 × 10-71
< 0.1%
2.287385286 × 10-71
< 0.1%
ValueCountFrequency (%)
1 2057337
37.2%
0.697878778 3
 
< 0.1%
0.6978787184 1
 
< 0.1%
0.6978786588 4
 
< 0.1%
0.6978785992 3
 
< 0.1%

B_19
Real number (ℝ)

Distinct47
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5079208
Minimum-1
Maximum100
Zeros4002526
Zeros (%)72.4%
Negative2016
Negative (%)< 0.1%
Memory size47.5 MiB
2023-03-29T23:50:04.729929image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q39
95-th percentile91
Maximum100
Range101
Interquartile range (IQR)9

Descriptive statistics

Standard deviation28.9564502
Coefficient of variation (CV)1.995906278
Kurtosis2.301783127
Mean14.5079208
Median Absolute Deviation (MAD)0
Skewness1.923597805
Sum80249853
Variance838.4760082
MonotonicityNot monotonic
2023-03-29T23:50:04.842115image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 4002526
72.4%
100 227424
 
4.1%
8 124158
 
2.2%
50 91590
 
1.7%
16 88689
 
1.6%
33 81769
 
1.5%
25 78319
 
1.4%
66 68933
 
1.2%
91 68174
 
1.2%
83 62028
 
1.1%
Other values (37) 637841
 
11.5%
ValueCountFrequency (%)
-1 2016
 
< 0.1%
0 4002526
72.4%
8 124158
 
2.2%
9 37388
 
0.7%
10 23654
 
0.4%
ValueCountFrequency (%)
100 227424
4.1%
91 68174
 
1.2%
90 34015
 
0.6%
88 5693
 
0.1%
87 4703
 
0.1%

D_66
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7757514258
Minimum-1
Maximum1
Zeros6288
Zeros (%)0.1%
Negative4908097
Negative (%)88.7%
Memory size47.5 MiB
2023-03-29T23:50:05.033022image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6301373064
Coefficient of variation (CV)-0.8122928111
Kurtosis4.05211505
Mean-0.7757514258
Median Absolute Deviation (MAD)0
Skewness2.458642764
Sum-4291031
Variance0.3970730249
MonotonicityNot monotonic
2023-03-29T23:50:05.105772image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-1 4908097
88.7%
1 617066
 
11.2%
0 6288
 
0.1%
ValueCountFrequency (%)
-1 4908097
88.7%
0 6288
 
0.1%
1 617066
 
11.2%
ValueCountFrequency (%)
1 617066
 
11.2%
0 6288
 
0.1%
-1 4908097
88.7%

B_20
Real number (ℝ)

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.930388247
Minimum-1
Maximum17
Zeros3423389
Zeros (%)61.9%
Negative2016
Negative (%)< 0.1%
Memory size47.5 MiB
2023-03-29T23:50:05.193984image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q36
95-th percentile17
Maximum17
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.352274873
Coefficient of variation (CV)1.616195264
Kurtosis-0.006240362168
Mean3.930388247
Median Absolute Deviation (MAD)0
Skewness1.306413114
Sum21740750
Variance40.35139606
MonotonicityNot monotonic
2023-03-29T23:50:05.281667image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3423389
61.9%
17 814301
 
14.7%
1 229965
 
4.2%
2 133724
 
2.4%
3 110235
 
2.0%
5 109004
 
2.0%
4 96899
 
1.8%
6 89366
 
1.6%
7 76413
 
1.4%
8 69140
 
1.2%
Other values (9) 379015
 
6.9%
ValueCountFrequency (%)
-1 2016
 
< 0.1%
0 3423389
61.9%
1 229965
 
4.2%
2 133724
 
2.4%
3 110235
 
2.0%
ValueCountFrequency (%)
17 814301
14.7%
16 25832
 
0.5%
15 38830
 
0.7%
14 42029
 
0.8%
13 46151
 
0.8%

D_68
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.776716814
Minimum-1
Maximum6
Zeros15925
Zeros (%)0.3%
Negative216503
Negative (%)3.9%
Memory size47.5 MiB
2023-03-29T23:50:05.367469image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile1
Q14
median6
Q36
95-th percentile6
Maximum6
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.764647106
Coefficient of variation (CV)0.3694267788
Kurtosis2.607793075
Mean4.776716814
Median Absolute Deviation (MAD)0
Skewness-1.74987568
Sum26422175
Variance3.113979409
MonotonicityNot monotonic
2023-03-29T23:50:05.440573image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 2782455
50.3%
5 1201706
21.7%
3 484442
 
8.8%
4 477187
 
8.6%
2 220111
 
4.0%
-1 216503
 
3.9%
1 133122
 
2.4%
0 15925
 
0.3%
ValueCountFrequency (%)
-1 216503
3.9%
0 15925
 
0.3%
1 133122
 
2.4%
2 220111
4.0%
3 484442
8.8%
ValueCountFrequency (%)
6 2782455
50.3%
5 1201706
21.7%
4 477187
 
8.6%
3 484442
 
8.8%
2 220111
 
4.0%

S_12
Real number (ℝ)

Distinct2592981
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2404628019
Minimum-0.4041089714
Maximum175.3314209
Zeros0
Zeros (%)0.0%
Negative53203
Negative (%)1.0%
Memory size63.3 MiB
2023-03-29T23:50:05.564996image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.4041089714
5-th percentile0.1520523205
Q10.1868979111
median0.1908261925
Q30.2088756114
95-th percentile0.5047385097
Maximum175.3314209
Range175.7355299
Interquartile range (IQR)0.02197770029

Descriptive statistics

Standard deviation0.25071913
Coefficient of variation (CV)1.042652452
Kurtosis57722.35156
Mean0.2404628019
Median Absolute Deviation (MAD)0.004287347198
Skewness118.6076736
Sum1330108.206
Variance0.06286007911
MonotonicityNot monotonic
2023-03-29T23:50:05.677274image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1878525019 19
 
< 0.1%
0.1875252873 18
 
< 0.1%
0.1931580007 18
 
< 0.1%
0.1868194789 18
 
< 0.1%
0.1853614599 18
 
< 0.1%
0.1894264519 17
 
< 0.1%
0.1878587604 17
 
< 0.1%
0.1935202479 17
 
< 0.1%
0.1903223246 17
 
< 0.1%
0.1862698942 17
 
< 0.1%
Other values (2592971) 5531275
> 99.9%
ValueCountFrequency (%)
-0.4041089714 1
< 0.1%
-0.4035280347 1
< 0.1%
-0.4032631814 1
< 0.1%
-0.4010852575 1
< 0.1%
-0.3998581767 1
< 0.1%
ValueCountFrequency (%)
175.3314209 1
< 0.1%
101.9248352 1
< 0.1%
92.94672394 1
< 0.1%
84.73021698 1
< 0.1%
73.84796906 1
< 0.1%

R_6
Real number (ℝ)

Distinct4959486
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0585306871
Minimum4.650680951 × 10-10
Maximum14.44820118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:05.837812image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4.650680951 × 10-10
5-th percentile0.0005176974519
Q10.002592270612
median0.005186869763
Q30.007781599183
95-th percentile0.009851548355
Maximum14.44820118
Range14.44820118
Interquartile range (IQR)0.005189328571

Descriptive statistics

Standard deviation0.6415659189
Coefficient of variation (CV)10.96118892
Kurtosis360.6307068
Mean0.0585306871
Median Absolute Deviation (MAD)0.002594669117
Skewness18.03323746
Sum323759.6277
Variance0.4116068184
MonotonicityNot monotonic
2023-03-29T23:50:05.950923image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009220724925 8
 
< 0.1%
0.008141055703 6
 
< 0.1%
0.008696531877 6
 
< 0.1%
0.007897566073 6
 
< 0.1%
0.009384780191 6
 
< 0.1%
0.009616660886 6
 
< 0.1%
0.008915701881 6
 
< 0.1%
0.009618518874 6
 
< 0.1%
0.008439766243 6
 
< 0.1%
0.007893436588 6
 
< 0.1%
Other values (4959476) 5531389
> 99.9%
ValueCountFrequency (%)
4.650680951 × 10-101
< 0.1%
4.509713047 × 10-91
< 0.1%
4.939507026 × 10-91
< 0.1%
5.587444285 × 10-91
< 0.1%
5.623666421 × 10-91
< 0.1%
ValueCountFrequency (%)
14.44820118 2
< 0.1%
14.44820023 2
< 0.1%
14.44819832 1
< 0.1%
14.4481926 2
< 0.1%
14.44819164 1
< 0.1%

S_13
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258.1620137
Minimum0
Maximum1034
Zeros2822865
Zeros (%)51.0%
Negative0
Negative (%)0.0%
Memory size52.8 MiB
2023-03-29T23:50:06.052067image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3435
95-th percentile872
Maximum1034
Range1034
Interquartile range (IQR)435

Descriptive statistics

Standard deviation306.7389515
Coefficient of variation (CV)1.188164545
Kurtosis-0.254663231
Mean258.1620137
Median Absolute Deviation (MAD)0
Skewness0.8707428211
Sum1428010529
Variance94088.78439
MonotonicityNot monotonic
2023-03-29T23:50:06.134674image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 2822865
51.0%
435 1089098
 
19.7%
290 461183
 
8.3%
702 245218
 
4.4%
1034 221824
 
4.0%
872 171463
 
3.1%
524 142556
 
2.6%
643 77159
 
1.4%
711 71171
 
1.3%
544 68833
 
1.2%
Other values (3) 160081
 
2.9%
ValueCountFrequency (%)
0 2822865
51.0%
39 50174
 
0.9%
290 461183
 
8.3%
415 49803
 
0.9%
435 1089098
 
19.7%
ValueCountFrequency (%)
1034 221824
4.0%
872 171463
3.1%
711 71171
 
1.3%
702 245218
4.4%
643 77159
 
1.4%

B_21
Real number (ℝ)

Distinct4944665
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05315427263
Minimum4.426752742 × 10-9
Maximum288.294281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:06.275418image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4.426752742 × 10-9
5-th percentile0.0005095178494
Q10.002550871926
median0.00510157831
Q30.007651583292
95-th percentile0.009694776963
Maximum288.294281
Range288.294281
Interquartile range (IQR)0.005100711365

Descriptive statistics

Standard deviation0.7196352482
Coefficient of variation (CV)13.53861529
Kurtosis9430.766602
Mean0.05315427263
Median Absolute Deviation (MAD)0.002550351899
Skewness56.65100098
Sum294020.2545
Variance0.5178748965
MonotonicityNot monotonic
2023-03-29T23:50:06.387321image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009570893832 7
 
< 0.1%
0.008710506372 7
 
< 0.1%
0.008091877215 7
 
< 0.1%
0.009990372695 7
 
< 0.1%
0.009240042418 6
 
< 0.1%
0.009117244743 6
 
< 0.1%
0.008711200207 6
 
< 0.1%
0.009907967411 6
 
< 0.1%
0.00929192733 6
 
< 0.1%
0.008149904199 6
 
< 0.1%
Other values (4944655) 5531387
> 99.9%
ValueCountFrequency (%)
4.426752742 × 10-91
< 0.1%
6.627088212 × 10-91
< 0.1%
7.338580854 × 10-91
< 0.1%
1.110574566 × 10-81
< 0.1%
1.301363728 × 10-81
< 0.1%
ValueCountFrequency (%)
288.294281 1
< 0.1%
169.5443268 1
< 0.1%
161.8599701 1
< 0.1%
161.8542328 1
< 0.1%
159.7606049 1
< 0.1%

D_69
Real number (ℝ)

MISSING  SKEWED 

Distinct4800508
Distinct (%)89.9%
Missing194473
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean0.1540407518
Minimum6.051600998 × 10-9
Maximum13000.90918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:06.538336image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum6.051600998 × 10-9
5-th percentile0.0005155185529
Q10.002585180628
median0.005166079616
Q30.007749849814
95-th percentile0.009818676068
Maximum13000.90918
Range13000.90918
Interquartile range (IQR)0.005164669186

Descriptive statistics

Standard deviation16.00965309
Coefficient of variation (CV)103.9312838
Kurtosis572398.125
Mean0.1540407518
Median Absolute Deviation (MAD)0.002582343761
Skewness714.6623535
Sum822112.1035
Variance256.3089905
MonotonicityNot monotonic
2023-03-29T23:50:06.656303image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00918398425 7
 
< 0.1%
0.009256324731 6
 
< 0.1%
0.006123158615 6
 
< 0.1%
0.009581887163 6
 
< 0.1%
0.007849821821 6
 
< 0.1%
0.009147536941 6
 
< 0.1%
0.00802138634 6
 
< 0.1%
0.008536937647 6
 
< 0.1%
0.008029028773 6
 
< 0.1%
0.00950116571 6
 
< 0.1%
Other values (4800498) 5336917
96.5%
(Missing) 194473
 
3.5%
ValueCountFrequency (%)
6.051600998 × 10-91
< 0.1%
6.50345866 × 10-91
< 0.1%
8.022488451 × 10-91
< 0.1%
1.202437705 × 10-81
< 0.1%
1.421226425 × 10-81
< 0.1%
ValueCountFrequency (%)
13000.90918 1
< 0.1%
13000.90723 1
< 0.1%
13000.90625 1
< 0.1%
13000.90527 1
< 0.1%
13000.9043 1
< 0.1%

B_22
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2040272977
Minimum-1
Maximum7
Zeros4487943
Zeros (%)81.1%
Negative2016
Negative (%)< 0.1%
Memory size47.5 MiB
2023-03-29T23:50:06.857005image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4470002086
Coefficient of variation (CV)2.190884326
Kurtosis5.934929334
Mean0.2040272977
Median Absolute Deviation (MAD)0
Skewness2.231900662
Sum1128567
Variance0.1998091865
MonotonicityNot monotonic
2023-03-29T23:50:06.932771image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 4487943
81.1%
1 962754
 
17.4%
2 70031
 
1.3%
3 7341
 
0.1%
-1 2016
 
< 0.1%
4 1144
 
< 0.1%
5 183
 
< 0.1%
6 20
 
< 0.1%
7 19
 
< 0.1%
ValueCountFrequency (%)
-1 2016
 
< 0.1%
0 4487943
81.1%
1 962754
 
17.4%
2 70031
 
1.3%
3 7341
 
0.1%
ValueCountFrequency (%)
7 19
 
< 0.1%
6 20
 
< 0.1%
5 183
 
< 0.1%
4 1144
 
< 0.1%
3 7341
0.1%

D_70
Real number (ℝ)

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3978901738
Minimum-1
Maximum28
Zeros4004037
Zeros (%)72.4%
Negative94917
Negative (%)1.7%
Memory size47.5 MiB
2023-03-29T23:50:07.023843image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum28
Range29
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9217435324
Coefficient of variation (CV)2.316577772
Kurtosis22.00564107
Mean0.3978901738
Median Absolute Deviation (MAD)0
Skewness3.47567017
Sum2200910
Variance0.8496111395
MonotonicityNot monotonic
2023-03-29T23:50:07.110288image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 4004037
72.4%
1 937638
 
17.0%
2 297857
 
5.4%
3 110740
 
2.0%
-1 94917
 
1.7%
4 45523
 
0.8%
5 20246
 
0.4%
6 10026
 
0.2%
7 4837
 
0.1%
8 2488
 
< 0.1%
Other values (19) 3142
 
0.1%
ValueCountFrequency (%)
-1 94917
 
1.7%
0 4004037
72.4%
1 937638
 
17.0%
2 297857
 
5.4%
3 110740
 
2.0%
ValueCountFrequency (%)
28 1
 
< 0.1%
27 1
 
< 0.1%
26 3
< 0.1%
25 5
< 0.1%
24 5
< 0.1%

D_71
Real number (ℝ)

Distinct5076426
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07083231054
Minimum3.026939366 × 10-9
Maximum67.03231049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:07.263653image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3.026939366 × 10-9
5-th percentile0.003777398262
Q10.008633795194
median0.0127965007
Q30.03118546586
95-th percentile0.2990312576
Maximum67.03231049
Range67.03231048
Interquartile range (IQR)0.02255167067

Descriptive statistics

Standard deviation0.3260109127
Coefficient of variation (CV)4.602573461
Kurtosis5457.52832
Mean0.07083231054
Median Absolute Deviation (MAD)0.00511922501
Skewness46.85226822
Sum391805.455
Variance0.1062831208
MonotonicityNot monotonic
2023-03-29T23:50:07.378449image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01566132158 7
 
< 0.1%
0.009180063382 6
 
< 0.1%
0.0157481432 6
 
< 0.1%
0.008922455832 6
 
< 0.1%
0.009175866842 6
 
< 0.1%
0.01577655226 6
 
< 0.1%
0.0111431554 6
 
< 0.1%
0.01585893333 6
 
< 0.1%
0.009590785019 6
 
< 0.1%
0.0122982366 6
 
< 0.1%
Other values (5076416) 5531390
> 99.9%
ValueCountFrequency (%)
3.026939366 × 10-91
< 0.1%
3.809334626 × 10-91
< 0.1%
4.453084124 × 10-91
< 0.1%
1.026091834 × 10-81
< 0.1%
1.216725281 × 10-71
< 0.1%
ValueCountFrequency (%)
67.03231049 1
< 0.1%
67.03204346 1
< 0.1%
67.03147888 1
< 0.1%
67.02875519 1
< 0.1%
67.02724457 1
< 0.1%

D_72
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09299295971
Minimum-1
Maximum9
Zeros5246010
Zeros (%)94.8%
Negative23708
Negative (%)0.4%
Memory size47.5 MiB
2023-03-29T23:50:07.477508image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6116105862
Coefficient of variation (CV)6.576955805
Kurtosis111.5332378
Mean0.09299295971
Median Absolute Deviation (MAD)0
Skewness9.550043633
Sum514386
Variance0.3740675091
MonotonicityNot monotonic
2023-03-29T23:50:07.553370image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 5246010
94.8%
1 162823
 
2.9%
2 42706
 
0.8%
-1 23708
 
0.4%
3 18022
 
0.3%
4 10799
 
0.2%
9 8574
 
0.2%
5 6906
 
0.1%
6 5271
 
0.1%
7 3781
 
0.1%
ValueCountFrequency (%)
-1 23708
 
0.4%
0 5246010
94.8%
1 162823
 
2.9%
2 42706
 
0.8%
3 18022
 
0.3%
ValueCountFrequency (%)
9 8574
0.2%
8 2851
 
0.1%
7 3781
0.1%
6 5271
0.1%
5 6906
0.1%

S_15
Real number (ℝ)

Distinct57
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.697893193
Minimum0
Maximum56
Zeros3708
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:07.650063image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q15
median7
Q38
95-th percentile9
Maximum56
Range56
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.950759008
Coefficient of variation (CV)0.2912496441
Kurtosis15.51319443
Mean6.697893193
Median Absolute Deviation (MAD)1
Skewness1.584924835
Sum37049068
Variance3.805460709
MonotonicityNot monotonic
2023-03-29T23:50:07.757419image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 1919018
34.7%
5 1094361
19.8%
6 1011611
18.3%
7 557674
 
10.1%
4 429042
 
7.8%
9 160616
 
2.9%
3 102304
 
1.8%
10 90058
 
1.6%
11 52331
 
0.9%
12 30815
 
0.6%
Other values (47) 83621
 
1.5%
ValueCountFrequency (%)
0 3708
 
0.1%
1 2463
 
< 0.1%
2 19686
 
0.4%
3 102304
 
1.8%
4 429042
7.8%
ValueCountFrequency (%)
56 15
< 0.1%
55 1
 
< 0.1%
54 28
< 0.1%
53 19
< 0.1%
52 4
 
< 0.1%

B_23
Real number (ℝ)

Distinct5300841
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1714804068
Minimum4.35296279 × 10-8
Maximum1.693097949
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:07.916892image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4.35296279 × 10-8
5-th percentile0.005045133177
Q10.01747993566
median0.05951237679
Q30.2472314164
95-th percentile0.6748771667
Maximum1.693097949
Range1.693097905
Interquartile range (IQR)0.2297514807

Descriptive statistics

Standard deviation0.2293527573
Coefficient of variation (CV)1.337486665
Kurtosis3.527622223
Mean0.1714804068
Median Absolute Deviation (MAD)0.05124646798
Skewness1.884514093
Sum948535.4675
Variance0.05260268971
MonotonicityNot monotonic
2023-03-29T23:50:08.029796image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009398768656 6
 
< 0.1%
0.6274641156 5
 
< 0.1%
0.03318389505 5
 
< 0.1%
0.00991155766 5
 
< 0.1%
0.03353185579 5
 
< 0.1%
0.02040031552 5
 
< 0.1%
0.5924172997 5
 
< 0.1%
0.01670719311 4
 
< 0.1%
0.279019177 4
 
< 0.1%
0.01089935657 4
 
< 0.1%
Other values (5300831) 5531403
> 99.9%
ValueCountFrequency (%)
4.35296279 × 10-81
< 0.1%
4.363840489 × 10-81
< 0.1%
8.382824745 × 10-81
< 0.1%
9.856999128 × 10-81
< 0.1%
1.607570681 × 10-71
< 0.1%
ValueCountFrequency (%)
1.693097949 1
< 0.1%
1.546055079 1
< 0.1%
1.544252157 1
< 0.1%
1.519500256 1
< 0.1%
1.518934369 1
< 0.1%

D_73
Real number (ℝ)

Distinct55802
Distinct (%)99.9%
Missing5475595
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean0.1564930682
Minimum-0.04526149482
Maximum3.853646994
Zeros0
Zeros (%)0.0%
Negative272
Negative (%)< 0.1%
Memory size63.3 MiB
2023-03-29T23:50:08.152915image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.04526149482
5-th percentile0.02190058818
Q10.0561874127
median0.1030887961
Q30.174848929
95-th percentile0.4845497683
Maximum3.853646994
Range3.898908488
Interquartile range (IQR)0.1186615163

Descriptive statistics

Standard deviation0.2049516439
Coefficient of variation (CV)1.309653177
Kurtosis60.74567032
Mean0.1564930682
Median Absolute Deviation (MAD)0.05428045243
Skewness5.932491302
Sum8741.076816
Variance0.04200517759
MonotonicityNot monotonic
2023-03-29T23:50:08.270641image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08420026302 2
 
< 0.1%
0.06207705662 2
 
< 0.1%
0.1509035081 2
 
< 0.1%
0.06948315352 2
 
< 0.1%
0.09554112703 2
 
< 0.1%
0.1269546598 2
 
< 0.1%
0.1166044325 2
 
< 0.1%
0.07573895156 2
 
< 0.1%
0.1701920331 2
 
< 0.1%
0.1471642852 2
 
< 0.1%
Other values (55792) 55836
 
1.0%
(Missing) 5475595
99.0%
ValueCountFrequency (%)
-0.04526149482 1
< 0.1%
-0.042426534 1
< 0.1%
-0.04043599218 1
< 0.1%
-0.03993584961 1
< 0.1%
-0.03679384664 1
< 0.1%
ValueCountFrequency (%)
3.853646994 1
< 0.1%
3.850379467 1
< 0.1%
3.846034765 1
< 0.1%
3.844227076 1
< 0.1%
3.682649136 1
< 0.1%

P_4
Real number (ℝ)

Distinct424684
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1396475259
Minimum0
Maximum1.269390345
Zeros4732506
Zeros (%)85.6%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:08.396114image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.9642805457
Maximum1.269390345
Range1.269390345
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3400191963
Coefficient of variation (CV)2.434838671
Kurtosis2.115103006
Mean0.1396475259
Median Absolute Deviation (MAD)0
Skewness2.026674271
Sum772453.4466
Variance0.1156130508
MonotonicityNot monotonic
2023-03-29T23:50:08.619536image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4732506
85.6%
0.9620968699 17
 
< 0.1%
0.9646452665 13
 
< 0.1%
0.9562605619 13
 
< 0.1%
0.9647909999 12
 
< 0.1%
0.9584771991 12
 
< 0.1%
0.9633851647 12
 
< 0.1%
0.9589864016 12
 
< 0.1%
0.9570636749 12
 
< 0.1%
0.9648819566 12
 
< 0.1%
Other values (424674) 798830
 
14.4%
ValueCountFrequency (%)
0 4732506
85.6%
0.7785273194 1
 
< 0.1%
0.7886732817 1
 
< 0.1%
0.7895746231 1
 
< 0.1%
0.7919595242 1
 
< 0.1%
ValueCountFrequency (%)
1.269390345 1
< 0.1%
1.264384627 1
< 0.1%
1.261794448 1
< 0.1%
1.260048509 1
< 0.1%
1.258735061 1
< 0.1%

D_74
Real number (ℝ)

Distinct53
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.066786816
Minimum-1
Maximum63
Zeros2339555
Zeros (%)42.3%
Negative21773
Negative (%)0.4%
Memory size47.5 MiB
2023-03-29T23:50:08.736502image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median1
Q33
95-th percentile8
Maximum63
Range64
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.068433665
Coefficient of variation (CV)1.484639655
Kurtosis10.3430018
Mean2.066786816
Median Absolute Deviation (MAD)1
Skewness2.578071934
Sum11432330
Variance9.415285157
MonotonicityNot monotonic
2023-03-29T23:50:08.846352image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2339555
42.3%
1 970918
17.6%
2 600873
 
10.9%
3 429736
 
7.8%
4 309999
 
5.6%
5 227873
 
4.1%
6 166954
 
3.0%
7 121512
 
2.2%
8 87776
 
1.6%
9 66758
 
1.2%
Other values (43) 209497
 
3.8%
ValueCountFrequency (%)
-1 21773
 
0.4%
0 2339555
42.3%
1 970918
17.6%
2 600873
 
10.9%
3 429736
 
7.8%
ValueCountFrequency (%)
63 4
< 0.1%
61 7
< 0.1%
60 2
 
< 0.1%
48 6
< 0.1%
47 3
< 0.1%

D_75
Real number (ℝ)

Distinct57
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.492983487
Minimum0
Maximum64
Zeros2057679
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:08.963250image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile9
Maximum64
Range64
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.362906212
Coefficient of variation (CV)1.348948451
Kurtosis8.126974032
Mean2.492983487
Median Absolute Deviation (MAD)1
Skewness2.285364472
Sum13789816
Variance11.30913819
MonotonicityNot monotonic
2023-03-29T23:50:09.076128image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2057679
37.2%
1 918047
16.6%
2 617974
 
11.2%
3 475529
 
8.6%
4 364904
 
6.6%
5 277758
 
5.0%
6 207375
 
3.7%
7 156224
 
2.8%
8 116708
 
2.1%
9 85369
 
1.5%
Other values (47) 253884
 
4.6%
ValueCountFrequency (%)
0 2057679
37.2%
1 918047
16.6%
2 617974
 
11.2%
3 475529
 
8.6%
4 364904
 
6.6%
ValueCountFrequency (%)
64 4
< 0.1%
62 7
< 0.1%
61 2
 
< 0.1%
53 2
 
< 0.1%
52 2
 
< 0.1%

D_76
Real number (ℝ)

Distinct619107
Distinct (%)99.5%
Missing4908954
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean0.1405048628
Minimum3.128482433 × 10-7
Maximum15.13261414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:09.201325image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3.128482433 × 10-7
5-th percentile0.003835526621
Q10.01534820627
median0.05874229223
Q30.1678397506
95-th percentile0.4817624629
Maximum15.13261414
Range15.13261382
Interquartile range (IQR)0.1524915444

Descriptive statistics

Standard deviation0.2901272774
Coefficient of variation (CV)2.064891361
Kurtosis402.1231689
Mean0.1405048628
Median Absolute Deviation (MAD)0.04987625033
Skewness13.7287035
Sum87463.85556
Variance0.08417383581
MonotonicityNot monotonic
2023-03-29T23:50:09.313604image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02328034304 3
 
< 0.1%
0.06183716282 3
 
< 0.1%
0.06488279998 3
 
< 0.1%
0.2859463692 3
 
< 0.1%
0.2575127184 3
 
< 0.1%
0.06138971075 3
 
< 0.1%
0.2649921179 3
 
< 0.1%
0.1924853027 3
 
< 0.1%
0.02471295372 3
 
< 0.1%
0.1966305524 3
 
< 0.1%
Other values (619097) 622467
 
11.3%
(Missing) 4908954
88.7%
ValueCountFrequency (%)
3.128482433 × 10-71
< 0.1%
4.434497498 × 10-71
< 0.1%
9.015968203 × 10-71
< 0.1%
9.964119272 × 10-71
< 0.1%
1.078920036 × 10-61
< 0.1%
ValueCountFrequency (%)
15.13261414 1
< 0.1%
15.13234997 1
< 0.1%
15.13179016 1
< 0.1%
15.13142681 1
< 0.1%
15.13079262 1
< 0.1%

B_24
Real number (ℝ)

Distinct4960342
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03965135153
Minimum1.820938955 × 10-9
Maximum46.60664749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:09.473201image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.820938955 × 10-9
5-th percentile0.0005188850046
Q10.002587743336
median0.005174881313
Q30.007760693319
95-th percentile0.009833154734
Maximum46.60664749
Range46.60664749
Interquartile range (IQR)0.005172949983

Descriptive statistics

Standard deviation0.3172190189
Coefficient of variation (CV)8.000206972
Kurtosis990.2245483
Mean0.03965135153
Median Absolute Deviation (MAD)0.002586450428
Skewness22.2862606
Sum219329.508
Variance0.1006279066
MonotonicityNot monotonic
2023-03-29T23:50:09.585465image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00963567663 7
 
< 0.1%
0.008652617224 7
 
< 0.1%
0.00903003756 6
 
< 0.1%
0.00940446835 6
 
< 0.1%
0.009937650524 6
 
< 0.1%
0.009869440459 6
 
< 0.1%
0.008946512826 6
 
< 0.1%
0.00926372502 6
 
< 0.1%
0.00959536992 6
 
< 0.1%
0.009672267362 6
 
< 0.1%
Other values (4960332) 5531389
> 99.9%
ValueCountFrequency (%)
1.820938955 × 10-91
< 0.1%
7.803936164 × 10-91
< 0.1%
7.863421914 × 10-91
< 0.1%
9.281772684 × 10-91
< 0.1%
1.175905329 × 10-81
< 0.1%
ValueCountFrequency (%)
46.60664749 1
< 0.1%
40.80885315 1
< 0.1%
37.28301239 1
< 0.1%
35.63776016 1
< 0.1%
34.84237671 1
< 0.1%

R_7
Real number (ℝ)

SKEWED  ZEROS 

Distinct144971
Distinct (%)2.6%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.08319538777
Minimum0
Maximum449.9888916
Zeros5386330
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:09.702888image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum449.9888916
Range449.9888916
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.551131725
Coefficient of variation (CV)18.64444372
Kurtosis7402.251465
Mean0.08319538777
Median Absolute Deviation (MAD)0
Skewness59.2946434
Sum460191.1277
Variance2.406009674
MonotonicityNot monotonic
2023-03-29T23:50:09.813772image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5386330
97.4%
0.07142891735 3
 
< 0.1%
0.3900629282 2
 
< 0.1%
0.06532797962 2
 
< 0.1%
1.286421061 2
 
< 0.1%
2.15529108 2
 
< 0.1%
0.5193721056 2
 
< 0.1%
23.21063232 2
 
< 0.1%
0.8667100668 2
 
< 0.1%
0.2740755975 2
 
< 0.1%
Other values (144961) 145101
 
2.6%
ValueCountFrequency (%)
0 5386330
97.4%
0.04226605967 1
 
< 0.1%
0.0422796011 1
 
< 0.1%
0.04236971587 1
 
< 0.1%
0.04245335236 1
 
< 0.1%
ValueCountFrequency (%)
449.9888916 1
< 0.1%
344.9849854 1
< 0.1%
340.2540283 1
< 0.1%
324.9038696 1
< 0.1%
324.0818481 1
< 0.1%

D_77
Real number (ℝ)

Distinct2859646
Distinct (%)94.8%
Missing2513912
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean0.2565559731
Minimum2.678713962 × 10-8
Maximum10.22916985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:09.975130image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.678713962 × 10-8
5-th percentile0.01485196147
Q10.07946026325
median0.2058334649
Q30.3749255836
95-th percentile0.6633568943
Maximum10.22916985
Range10.22916982
Interquartile range (IQR)0.2954653203

Descriptive statistics

Standard deviation0.2326449007
Coefficient of variation (CV)0.9067997829
Kurtosis51.93566895
Mean0.2565559731
Median Absolute Deviation (MAD)0.1413066089
Skewness3.142974138
Sum774167.6544
Variance0.05412365124
MonotonicityNot monotonic
2023-03-29T23:50:10.107501image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.500264287 6
 
< 0.1%
0.5089426041 6
 
< 0.1%
0.4017387927 6
 
< 0.1%
0.5016084313 6
 
< 0.1%
0.508349359 6
 
< 0.1%
0.509454906 6
 
< 0.1%
0.5030248761 6
 
< 0.1%
0.5087063909 6
 
< 0.1%
0.5047127604 5
 
< 0.1%
0.3012156188 5
 
< 0.1%
Other values (2859636) 3017481
54.6%
(Missing) 2513912
45.4%
ValueCountFrequency (%)
2.678713962 × 10-81
< 0.1%
7.095481891 × 10-81
< 0.1%
9.836165873 × 10-71
< 0.1%
9.888400427 × 10-71
< 0.1%
1.026174687 × 10-61
< 0.1%
ValueCountFrequency (%)
10.22916985 1
< 0.1%
10.22356415 1
< 0.1%
10.22294998 1
< 0.1%
10.22254372 1
< 0.1%
10.0098753 1
< 0.1%

B_25
Real number (ℝ)

Distinct5297013
Distinct (%)95.9%
Missing6923
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.1038704285
Minimum-11.25357723
Maximum15.69975853
Zeros0
Zeros (%)0.0%
Negative13073
Negative (%)0.2%
Memory size63.3 MiB
2023-03-29T23:50:10.402468image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-11.25357723
5-th percentile0.001262886106
Q10.00596462586
median0.01985531207
Q30.1061590165
95-th percentile0.4706034213
Maximum15.69975853
Range26.95333576
Interquartile range (IQR)0.1001943906

Descriptive statistics

Standard deviation0.2087053061
Coefficient of variation (CV)2.009285117
Kurtosis78.03510284
Mean0.1038704285
Median Absolute Deviation (MAD)0.01796433702
Skewness5.1697855
Sum573835.0905
Variance0.04355790466
MonotonicityNot monotonic
2023-03-29T23:50:10.521167image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.008803661913 5
 
< 0.1%
0.008553253487 5
 
< 0.1%
0.008063924499 5
 
< 0.1%
0.008158442564 5
 
< 0.1%
0.008320844732 5
 
< 0.1%
0.009026476182 5
 
< 0.1%
0.00860694889 5
 
< 0.1%
0.00829820428 5
 
< 0.1%
0.009262477979 5
 
< 0.1%
0.008733822033 5
 
< 0.1%
Other values (5297003) 5524478
99.9%
(Missing) 6923
 
0.1%
ValueCountFrequency (%)
-11.25357723 1
< 0.1%
-7.570432186 1
< 0.1%
-7.397485733 1
< 0.1%
-6.765860081 1
< 0.1%
-4.318306923 1
< 0.1%
ValueCountFrequency (%)
15.69975853 1
< 0.1%
15.52363777 1
< 0.1%
15.03920174 1
< 0.1%
14.78672504 1
< 0.1%
14.63458824 1
< 0.1%

B_26
Real number (ℝ)

Distinct4969518
Distinct (%)89.9%
Missing2016
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.09061996091
Minimum1.691720986 × 10-9
Maximum1499.220337
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:10.682771image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.691720986 × 10-9
5-th percentile0.0005227672285
Q10.002620160347
median0.005237409379
Q30.007855688222
95-th percentile0.009949796088
Maximum1499.220337
Range1499.220337
Interquartile range (IQR)0.005235527875

Descriptive statistics

Standard deviation2.588204622
Coefficient of variation (CV)28.56108739
Kurtosis83757.67969
Mean0.09061996091
Median Absolute Deviation (MAD)0.002617754508
Skewness210.3451996
Sum501077.1835
Variance6.698802948
MonotonicityNot monotonic
2023-03-29T23:50:10.794341image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.007892638445 7
 
< 0.1%
0.009255490266 7
 
< 0.1%
0.009351792745 7
 
< 0.1%
0.009971203282 6
 
< 0.1%
0.007280447055 6
 
< 0.1%
0.008864059113 6
 
< 0.1%
0.009914141148 6
 
< 0.1%
0.008653300814 6
 
< 0.1%
0.009311693721 6
 
< 0.1%
0.008108560927 6
 
< 0.1%
Other values (4969508) 5529372
> 99.9%
(Missing) 2016
 
< 0.1%
ValueCountFrequency (%)
1.691720986 × 10-91
< 0.1%
2.487907658 × 10-91
< 0.1%
3.492131029 × 10-91
< 0.1%
5.36713074 × 10-91
< 0.1%
5.527828861 × 10-91
< 0.1%
ValueCountFrequency (%)
1499.220337 1
< 0.1%
1499.216431 1
< 0.1%
1481.761719 1
< 0.1%
940.5083618 1
< 0.1%
938.274231 1
< 0.1%

D_78
Real number (ℝ)

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0599148397
Minimum-1
Maximum32
Zeros4872246
Zeros (%)88.1%
Negative274319
Negative (%)5.0%
Memory size47.5 MiB
2023-03-29T23:50:10.900823image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum32
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5605995836
Coefficient of variation (CV)9.356606584
Kurtosis68.5043573
Mean0.0599148397
Median Absolute Deviation (MAD)0
Skewness5.723141729
Sum331416
Variance0.3142718932
MonotonicityNot monotonic
2023-03-29T23:50:10.988513image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 4872246
88.1%
-1 274319
 
5.0%
1 266476
 
4.8%
2 67905
 
1.2%
3 26263
 
0.5%
4 11818
 
0.2%
5 5790
 
0.1%
6 2945
 
0.1%
7 1622
 
< 0.1%
8 885
 
< 0.1%
Other values (15) 1182
 
< 0.1%
ValueCountFrequency (%)
-1 274319
 
5.0%
0 4872246
88.1%
1 266476
 
4.8%
2 67905
 
1.2%
3 26263
 
0.5%
ValueCountFrequency (%)
32 1
 
< 0.1%
25 1
 
< 0.1%
24 1
 
< 0.1%
20 2
< 0.1%
19 4
< 0.1%

D_79
Real number (ℝ)

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1127642638
Minimum-1
Maximum36
Zeros4909979
Zeros (%)88.8%
Negative75939
Negative (%)1.4%
Memory size47.5 MiB
2023-03-29T23:50:11.083857image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum36
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4564778181
Coefficient of variation (CV)4.048071636
Kurtosis65.80280015
Mean0.1127642638
Median Absolute Deviation (MAD)0
Skewness4.778706202
Sum623750
Variance0.2083719984
MonotonicityNot monotonic
2023-03-29T23:50:11.173509image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 4909979
88.8%
1 431463
 
7.8%
2 87237
 
1.6%
-1 75939
 
1.4%
3 19263
 
0.3%
4 4962
 
0.1%
5 1458
 
< 0.1%
6 552
 
< 0.1%
7 211
 
< 0.1%
8 136
 
< 0.1%
Other values (15) 251
 
< 0.1%
ValueCountFrequency (%)
-1 75939
 
1.4%
0 4909979
88.8%
1 431463
 
7.8%
2 87237
 
1.6%
3 19263
 
0.3%
ValueCountFrequency (%)
36 1
 
< 0.1%
34 1
 
< 0.1%
23 2
 
< 0.1%
21 2
 
< 0.1%
19 10
< 0.1%

R_8
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03311970042
Minimum0
Maximum38
Zeros5416683
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:11.276005image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3036274949
Coefficient of variation (CV)9.167579751
Kurtosis764.9784963
Mean0.03311970042
Median Absolute Deviation (MAD)0
Skewness19.85518311
Sum183200
Variance0.09218965567
MonotonicityNot monotonic
2023-03-29T23:50:11.375566image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 5416683
97.9%
1 81410
 
1.5%
2 18777
 
0.3%
3 6859
 
0.1%
4 3284
 
0.1%
5 1773
 
< 0.1%
6 948
 
< 0.1%
7 547
 
< 0.1%
8 401
 
< 0.1%
9 262
 
< 0.1%
Other values (23) 507
 
< 0.1%
ValueCountFrequency (%)
0 5416683
97.9%
1 81410
 
1.5%
2 18777
 
0.3%
3 6859
 
0.1%
4 3284
 
0.1%
ValueCountFrequency (%)
38 1
< 0.1%
34 2
< 0.1%
33 1
< 0.1%
32 1
< 0.1%
29 1
< 0.1%

R_9
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8672596033
Minimum-1
Maximum9
Zeros24975
Zeros (%)0.5%
Negative5218918
Negative (%)94.3%
Memory size47.5 MiB
2023-03-29T23:50:11.475793image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile1
Maximum9
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6058193661
Coefficient of variation (CV)-0.698544431
Kurtosis53.56155889
Mean-0.8672596033
Median Absolute Deviation (MAD)0
Skewness6.156930176
Sum-4797204
Variance0.3670171044
MonotonicityNot monotonic
2023-03-29T23:50:11.551567image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1 5218918
94.3%
1 216484
 
3.9%
2 42103
 
0.8%
0 24975
 
0.5%
3 14639
 
0.3%
4 6271
 
0.1%
5 3176
 
0.1%
6 1772
 
< 0.1%
9 1564
 
< 0.1%
7 957
 
< 0.1%
ValueCountFrequency (%)
-1 5218918
94.3%
0 24975
 
0.5%
1 216484
 
3.9%
2 42103
 
0.8%
3 14639
 
0.3%
ValueCountFrequency (%)
9 1564
< 0.1%
8 592
 
< 0.1%
7 957
 
< 0.1%
6 1772
< 0.1%
5 3176
0.1%

S_16
Real number (ℝ)

Distinct4944353
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05081593126
Minimum5.083304444 × 10-9
Maximum231.7589417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:11.722399image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5.083304444 × 10-9
5-th percentile0.000511570106
Q10.002553209546
median0.005104234442
Q30.007657399867
95-th percentile0.009698957205
Maximum231.7589417
Range231.7589416
Interquartile range (IQR)0.005104190321

Descriptive statistics

Standard deviation0.7724871039
Coefficient of variation (CV)15.2016717
Kurtosis11484.54199
Mean0.05081593126
Median Absolute Deviation (MAD)0.002552090678
Skewness73.46349335
Sum281085.8338
Variance0.5967363715
MonotonicityNot monotonic
2023-03-29T23:50:11.885999image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.008947418071 7
 
< 0.1%
0.008365510032 7
 
< 0.1%
0.009834990837 6
 
< 0.1%
0.009204760194 6
 
< 0.1%
0.009889248759 6
 
< 0.1%
0.009544672444 6
 
< 0.1%
0.009365308098 6
 
< 0.1%
0.008325447328 6
 
< 0.1%
0.007899515331 6
 
< 0.1%
0.008029394783 6
 
< 0.1%
Other values (4944343) 5531389
> 99.9%
ValueCountFrequency (%)
5.083304444 × 10-91
< 0.1%
5.802911929 × 10-91
< 0.1%
6.926695217 × 10-91
< 0.1%
8.117018169 × 10-91
< 0.1%
8.860759237 × 10-91
< 0.1%
ValueCountFrequency (%)
231.7589417 1
< 0.1%
231.7542114 1
< 0.1%
231.7539062 1
< 0.1%
193.3172455 1
< 0.1%
188.7436066 1
< 0.1%

D_80
Real number (ℝ)

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5289995338
Minimum-1
Maximum40
Zeros3801799
Zeros (%)68.7%
Negative21773
Negative (%)0.4%
Memory size47.5 MiB
2023-03-29T23:50:12.041113image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum40
Range41
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.075817259
Coefficient of variation (CV)2.033682811
Kurtosis26.13697044
Mean0.5289995338
Median Absolute Deviation (MAD)0
Skewness3.650748618
Sum2926135
Variance1.157382775
MonotonicityNot monotonic
2023-03-29T23:50:12.262211image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 3801799
68.7%
1 1043315
 
18.9%
2 377137
 
6.8%
3 152480
 
2.8%
4 67712
 
1.2%
5 31743
 
0.6%
-1 21773
 
0.4%
6 15994
 
0.3%
7 8358
 
0.2%
8 4514
 
0.1%
Other values (28) 6626
 
0.1%
ValueCountFrequency (%)
-1 21773
 
0.4%
0 3801799
68.7%
1 1043315
 
18.9%
2 377137
 
6.8%
3 152480
 
2.8%
ValueCountFrequency (%)
40 1
 
< 0.1%
38 1
 
< 0.1%
35 1
 
< 0.1%
33 3
< 0.1%
32 5
< 0.1%

R_10
Real number (ℝ)

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05977437023
Minimum0
Maximum21
Zeros5271789
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:12.354533image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3056803319
Coefficient of variation (CV)5.113903012
Kurtosis90.35231799
Mean0.05977437023
Median Absolute Deviation (MAD)0
Skewness7.454514033
Sum330639
Variance0.09344046534
MonotonicityNot monotonic
2023-03-29T23:50:12.434546image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 5271789
95.3%
1 209030
 
3.8%
2 37072
 
0.7%
3 9378
 
0.2%
4 2696
 
< 0.1%
5 877
 
< 0.1%
6 361
 
< 0.1%
7 136
 
< 0.1%
8 47
 
< 0.1%
9 34
 
< 0.1%
Other values (8) 31
 
< 0.1%
ValueCountFrequency (%)
0 5271789
95.3%
1 209030
 
3.8%
2 37072
 
0.7%
3 9378
 
0.2%
4 2696
 
< 0.1%
ValueCountFrequency (%)
21 1
< 0.1%
17 1
< 0.1%
16 1
< 0.1%
14 2
< 0.1%
13 2
< 0.1%

R_11
Real number (ℝ)

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09166112111
Minimum0
Maximum25
Zeros5108378
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:12.517046image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3511964125
Coefficient of variation (CV)3.831465384
Kurtosis52.49266433
Mean0.09166112111
Median Absolute Deviation (MAD)0
Skewness5.271248577
Sum507019
Variance0.1233389202
MonotonicityNot monotonic
2023-03-29T23:50:12.605086image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 5108378
92.4%
1 356994
 
6.5%
2 53265
 
1.0%
3 9602
 
0.2%
4 2199
 
< 0.1%
5 599
 
< 0.1%
6 240
 
< 0.1%
7 92
 
< 0.1%
8 36
 
< 0.1%
9 17
 
< 0.1%
Other values (9) 29
 
< 0.1%
ValueCountFrequency (%)
0 5108378
92.4%
1 356994
 
6.5%
2 53265
 
1.0%
3 9602
 
0.2%
4 2199
 
< 0.1%
ValueCountFrequency (%)
25 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%
15 2
< 0.1%

B_27
Real number (ℝ)

Distinct4921945
Distinct (%)89.0%
Missing2016
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.005008230336
Minimum1.044158982 × 10-9
Maximum1.00537014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:12.751798image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.044158982 × 10-9
5-th percentile0.0005010480352
Q10.002502497402
median0.005004534032
Q30.00750665809
95-th percentile0.009506158344
Maximum1.00537014
Range1.005370139
Interquartile range (IQR)0.005004160688

Descriptive statistics

Standard deviation0.003011975205
Coefficient of variation (CV)0.6014050877
Kurtosis4617.862793
Mean0.005008230336
Median Absolute Deviation (MAD)0.002502077492
Skewness15.89148998
Sum27692.68411
Variance9.0719941 × 10-6
MonotonicityNot monotonic
2023-03-29T23:50:12.869115image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009919391945 7
 
< 0.1%
0.008060818538 7
 
< 0.1%
0.008330721408 6
 
< 0.1%
0.008552823216 6
 
< 0.1%
0.008800393902 6
 
< 0.1%
0.009211133234 6
 
< 0.1%
0.008860616013 6
 
< 0.1%
0.009795242921 6
 
< 0.1%
0.009901906364 6
 
< 0.1%
0.009990620427 6
 
< 0.1%
Other values (4921935) 5529373
> 99.9%
(Missing) 2016
 
< 0.1%
ValueCountFrequency (%)
1.044158982 × 10-91
< 0.1%
2.636634688 × 10-91
< 0.1%
6.886456294 × 10-91
< 0.1%
7.221494513 × 10-91
< 0.1%
1.177614184 × 10-81
< 0.1%
ValueCountFrequency (%)
1.00537014 1
< 0.1%
0.9985719919 1
< 0.1%
0.4462209344 1
< 0.1%
0.3936858773 1
< 0.1%
0.3481495082 1
< 0.1%

D_81
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04504098473
Minimum-1
Maximum8
Zeros5327033
Zeros (%)96.3%
Negative25687
Negative (%)0.5%
Memory size47.5 MiB
2023-03-29T23:50:12.965763image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3466246917
Coefficient of variation (CV)7.695761846
Kurtosis141.7565063
Mean0.04504098473
Median Absolute Deviation (MAD)0
Skewness9.964265268
Sum249142
Variance0.1201486769
MonotonicityNot monotonic
2023-03-29T23:50:13.038454image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 5327033
96.3%
1 129458
 
2.3%
2 26640
 
0.5%
-1 25687
 
0.5%
3 10621
 
0.2%
4 5483
 
0.1%
5 3014
 
0.1%
6 1948
 
< 0.1%
7 998
 
< 0.1%
8 569
 
< 0.1%
ValueCountFrequency (%)
-1 25687
 
0.5%
0 5327033
96.3%
1 129458
 
2.3%
2 26640
 
0.5%
3 10621
 
0.2%
ValueCountFrequency (%)
8 569
 
< 0.1%
7 998
 
< 0.1%
6 1948
 
< 0.1%
5 3014
0.1%
4 5483
0.1%

D_82
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4926499394
Minimum-1
Maximum6
Zeros179534
Zeros (%)3.2%
Negative4058614
Negative (%)73.4%
Memory size47.5 MiB
2023-03-29T23:50:13.113640image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q30
95-th percentile1
Maximum6
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8647270818
Coefficient of variation (CV)-1.755256649
Kurtosis-0.3068736018
Mean-0.4926499394
Median Absolute Deviation (MAD)0
Skewness1.210768781
Sum-2725069
Variance0.747752926
MonotonicityNot monotonic
2023-03-29T23:50:13.185953image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-1 4058614
73.4%
1 1255589
 
22.7%
0 179534
 
3.2%
2 35565
 
0.6%
3 1863
 
< 0.1%
4 203
 
< 0.1%
5 73
 
< 0.1%
6 10
 
< 0.1%
ValueCountFrequency (%)
-1 4058614
73.4%
0 179534
 
3.2%
1 1255589
 
22.7%
2 35565
 
0.6%
3 1863
 
< 0.1%
ValueCountFrequency (%)
6 10
 
< 0.1%
5 73
 
< 0.1%
4 203
 
< 0.1%
3 1863
 
< 0.1%
2 35565
0.6%

S_17
Real number (ℝ)

Distinct4996175
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03972029633
Minimum1.019805684 × 10-9
Maximum4.049070358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:13.329356image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.019805684 × 10-9
5-th percentile0.0005370903818
Q10.002686053282
median0.005367302336
Q30.008049987722
95-th percentile0.08436283842
Maximum4.049070358
Range4.049070357
Interquartile range (IQR)0.005363934441

Descriptive statistics

Standard deviation0.2410226911
Coefficient of variation (CV)6.067998314
Kurtosis140.0188904
Mean0.03972029633
Median Absolute Deviation (MAD)0.00268196594
Skewness10.89951897
Sum219710.8728
Variance0.0580919385
MonotonicityNot monotonic
2023-03-29T23:50:13.446709image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009940815158 8
 
< 0.1%
0.009212534875 7
 
< 0.1%
0.00986894872 7
 
< 0.1%
0.009715553373 7
 
< 0.1%
0.009322821163 6
 
< 0.1%
0.009115942754 6
 
< 0.1%
0.00789058581 6
 
< 0.1%
0.009266722016 6
 
< 0.1%
0.009020730853 6
 
< 0.1%
0.009284876287 6
 
< 0.1%
Other values (4996165) 5531386
> 99.9%
ValueCountFrequency (%)
1.019805684 × 10-91
< 0.1%
1.505725988 × 10-91
< 0.1%
1.639908764 × 10-91
< 0.1%
3.133272974 × 10-91
< 0.1%
3.46811424 × 10-91
< 0.1%
ValueCountFrequency (%)
4.049070358 1
< 0.1%
4.049065113 1
< 0.1%
4.049063206 1
< 0.1%
4.049062252 1
< 0.1%
4.049058437 1
< 0.1%

R_12
Real number (ℝ)

Distinct153759
Distinct (%)2.8%
Missing56
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9743598676
Minimum-0.09179347008
Maximum1
Zeros0
Zeros (%)0.0%
Negative53363
Negative (%)1.0%
Memory size63.3 MiB
2023-03-29T23:50:13.572605image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.09179347008
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1.09179347
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1529030353
Coefficient of variation (CV)0.1569266555
Kurtosis33.31224823
Mean0.9743598676
Median Absolute Deviation (MAD)0
Skewness-5.895634174
Sum5389569.3
Variance0.02337933891
MonotonicityNot monotonic
2023-03-29T23:50:13.685004image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5377409
97.2%
-0.08300581574 3
 
< 0.1%
0.2759948969 2
 
< 0.1%
0.1228777319 2
 
< 0.1%
0.3068113029 2
 
< 0.1%
0.1774429381 2
 
< 0.1%
0.3049605191 2
 
< 0.1%
-0.07195466757 2
 
< 0.1%
0.2468144894 2
 
< 0.1%
0.07921823859 2
 
< 0.1%
Other values (153749) 153967
 
2.8%
(Missing) 56
 
< 0.1%
ValueCountFrequency (%)
-0.09179347008 1
< 0.1%
-0.09170651436 1
< 0.1%
-0.0916479677 1
< 0.1%
-0.0916467905 1
< 0.1%
-0.09162097424 1
< 0.1%
ValueCountFrequency (%)
1 5377409
97.2%
0.7348217964 1
 
< 0.1%
0.7187975049 1
 
< 0.1%
0.7166339755 1
 
< 0.1%
0.6987711787 1
 
< 0.1%

B_28
Real number (ℝ)

Distinct5274054
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1545278477
Minimum-2.160207077 × 10-5
Maximum25.53337288
Zeros0
Zeros (%)0.0%
Negative24
Negative (%)< 0.1%
Memory size63.3 MiB
2023-03-29T23:50:13.843058image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2.160207077 × 10-5
5-th percentile0.006512357621
Q10.02745630778
median0.07706299424
Q30.1944008917
95-th percentile0.5572267175
Maximum25.53337288
Range25.53339448
Interquartile range (IQR)0.1669445839

Descriptive statistics

Standard deviation0.2275020182
Coefficient of variation (CV)1.47223961
Kurtosis288.9477539
Mean0.1545278477
Median Absolute Deviation (MAD)0.06069054455
Skewness8.025533676
Sum854763.2176
Variance0.05175716802
MonotonicityNot monotonic
2023-03-29T23:50:14.067054image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06411515176 5
 
< 0.1%
0.09449597448 5
 
< 0.1%
0.1391073614 4
 
< 0.1%
0.07911023498 4
 
< 0.1%
0.1132883653 4
 
< 0.1%
0.2498415262 4
 
< 0.1%
0.1257207096 4
 
< 0.1%
0.3779681325 4
 
< 0.1%
0.06609235704 4
 
< 0.1%
0.06701683998 4
 
< 0.1%
Other values (5274044) 5531409
> 99.9%
ValueCountFrequency (%)
-2.160207077 × 10-51
< 0.1%
-2.111559661 × 10-51
< 0.1%
-1.867102037 × 10-51
< 0.1%
-1.826821062 × 10-51
< 0.1%
-1.708134732 × 10-51
< 0.1%
ValueCountFrequency (%)
25.53337288 1
< 0.1%
22.27337837 1
< 0.1%
22.03810883 1
< 0.1%
21.16749382 1
< 0.1%
20.68342781 1
< 0.1%

R_13
Real number (ℝ)

SKEWED  ZEROS 

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01489934558
Minimum0
Maximum31
Zeros5481116
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:14.170030image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2071562581
Coefficient of variation (CV)13.90371524
Kurtosis1417.531119
Mean0.01489934558
Median Absolute Deviation (MAD)0
Skewness28.37972574
Sum82415
Variance0.04291371529
MonotonicityNot monotonic
2023-03-29T23:50:14.260075image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 5481116
99.1%
1 35008
 
0.6%
2 8468
 
0.2%
3 3093
 
0.1%
4 1607
 
< 0.1%
5 827
 
< 0.1%
6 508
 
< 0.1%
7 281
 
< 0.1%
8 183
 
< 0.1%
9 115
 
< 0.1%
Other values (18) 245
 
< 0.1%
ValueCountFrequency (%)
0 5481116
99.1%
1 35008
 
0.6%
2 8468
 
0.2%
3 3093
 
0.1%
4 1607
 
< 0.1%
ValueCountFrequency (%)
31 1
< 0.1%
26 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%

D_83
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0004881178555
Minimum-1
Maximum38
Zeros5210893
Zeros (%)94.2%
Negative194473
Negative (%)3.5%
Memory size47.5 MiB
2023-03-29T23:50:14.360681image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum38
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3559666942
Coefficient of variation (CV)-729.2638247
Kurtosis606.6303362
Mean-0.0004881178555
Median Absolute Deviation (MAD)0
Skewness12.9707629
Sum-2700
Variance0.1267122874
MonotonicityNot monotonic
2023-03-29T23:50:14.457382image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 5210893
94.2%
-1 194473
 
3.5%
1 90378
 
1.6%
2 22714
 
0.4%
3 6699
 
0.1%
4 2974
 
0.1%
5 1225
 
< 0.1%
6 750
 
< 0.1%
7 531
 
< 0.1%
8 217
 
< 0.1%
Other values (23) 597
 
< 0.1%
ValueCountFrequency (%)
-1 194473
 
3.5%
0 5210893
94.2%
1 90378
 
1.6%
2 22714
 
0.4%
3 6699
 
0.1%
ValueCountFrequency (%)
38 5
< 0.1%
35 3
< 0.1%
34 2
 
< 0.1%
33 1
 
< 0.1%
29 6
< 0.1%

R_14
Real number (ℝ)

SKEWED  ZEROS 

Distinct77586
Distinct (%)1.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.236507978
Minimum0
Maximum4837.304688
Zeros5453803
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:14.570775image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4837.304688
Range4837.304688
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.356591225
Coefficient of variation (CV)35.33323186
Kurtosis38606.24219
Mean0.236507978
Median Absolute Deviation (MAD)0
Skewness135.1284943
Sum1308232.055
Variance69.83261108
MonotonicityNot monotonic
2023-03-29T23:50:14.687873image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5453803
98.6%
6.991231918 2
 
< 0.1%
1.297696829 2
 
< 0.1%
0.4191746414 2
 
< 0.1%
9.856726646 2
 
< 0.1%
93.31932831 2
 
< 0.1%
5.669510365 2
 
< 0.1%
0.6123971343 2
 
< 0.1%
4.639575958 2
 
< 0.1%
0.6047669649 2
 
< 0.1%
Other values (77576) 77629
 
1.4%
ValueCountFrequency (%)
0 5453803
98.6%
0.3082246184 1
 
< 0.1%
0.3085104227 1
 
< 0.1%
0.3085645437 1
 
< 0.1%
0.3086878061 1
 
< 0.1%
ValueCountFrequency (%)
4837.304688 1
< 0.1%
3438.977783 1
< 0.1%
2363.278809 1
< 0.1%
1980.403076 1
< 0.1%
1968.196777 1
< 0.1%

R_15
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01528224692
Minimum0
Maximum1
Zeros5446918
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:14.779728image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1226731534
Coefficient of variation (CV)8.027167344
Kurtosis60.45097907
Mean0.01528224692
Median Absolute Deviation (MAD)0
Skewness7.902591804
Sum84533
Variance0.01504870257
MonotonicityNot monotonic
2023-03-29T23:50:14.852874image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5446918
98.5%
1 84533
 
1.5%
ValueCountFrequency (%)
0 5446918
98.5%
1 84533
 
1.5%
ValueCountFrequency (%)
1 84533
 
1.5%
0 5446918
98.5%

D_84
Real number (ℝ)

Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07373038286
Minimum-1
Maximum58
Zeros5281460
Zeros (%)95.5%
Negative29563
Negative (%)0.5%
Memory size47.5 MiB
2023-03-29T23:50:14.946705image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum58
Range59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5740047362
Coefficient of variation (CV)7.785185888
Kurtosis330.0713354
Mean0.07373038286
Median Absolute Deviation (MAD)0
Skewness14.18387899
Sum407836
Variance0.3294814372
MonotonicityNot monotonic
2023-03-29T23:50:15.049050image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 5281460
95.5%
1 140790
 
2.5%
2 36099
 
0.7%
-1 29563
 
0.5%
3 15563
 
0.3%
4 9324
 
0.2%
5 5516
 
0.1%
6 3892
 
0.1%
7 2631
 
< 0.1%
8 1874
 
< 0.1%
Other values (30) 4739
 
0.1%
ValueCountFrequency (%)
-1 29563
 
0.5%
0 5281460
95.5%
1 140790
 
2.5%
2 36099
 
0.7%
3 15563
 
0.3%
ValueCountFrequency (%)
58 1
< 0.1%
40 1
< 0.1%
37 1
< 0.1%
36 1
< 0.1%
35 1
< 0.1%

R_16
Real number (ℝ)

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1070751598
Minimum0
Maximum37
Zeros5113865
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:15.154030image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4784567721
Coefficient of variation (CV)4.468419873
Kurtosis182.9273663
Mean0.1070751598
Median Absolute Deviation (MAD)0
Skewness9.45041808
Sum592281
Variance0.2289208828
MonotonicityNot monotonic
2023-03-29T23:50:15.250636image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 5113865
92.5%
1 321489
 
5.8%
2 59688
 
1.1%
3 18859
 
0.3%
4 8112
 
0.1%
5 4042
 
0.1%
6 2160
 
< 0.1%
7 1220
 
< 0.1%
8 709
 
< 0.1%
9 410
 
< 0.1%
Other values (22) 897
 
< 0.1%
ValueCountFrequency (%)
0 5113865
92.5%
1 321489
 
5.8%
2 59688
 
1.1%
3 18859
 
0.3%
4 8112
 
0.1%
ValueCountFrequency (%)
37 1
< 0.1%
35 1
< 0.1%
32 1
< 0.1%
29 2
< 0.1%
28 1
< 0.1%

B_29
Real number (ℝ)

Distinct378319
Distinct (%)99.2%
Missing5150035
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean0.03299848631
Minimum2.146359357 × 10-8
Maximum12.02396774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:15.366403image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.146359357 × 10-8
5-th percentile0.0005117055553
Q10.002557025175
median0.00508806156
Q30.007633992704
95-th percentile0.009670138126
Maximum12.02396774
Range12.02396772
Interquartile range (IQR)0.005076967529

Descriptive statistics

Standard deviation0.2765133679
Coefficient of variation (CV)8.379577333
Kurtosis202.0822754
Mean0.03299848631
Median Absolute Deviation (MAD)0.002538283821
Skewness12.73066616
Sum12586.15065
Variance0.07645963877
MonotonicityNot monotonic
2023-03-29T23:50:15.488111image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009290118702 3
 
< 0.1%
0.007906251587 3
 
< 0.1%
0.009773355909 3
 
< 0.1%
0.007958578877 3
 
< 0.1%
0.008282820694 3
 
< 0.1%
0.008113983087 3
 
< 0.1%
0.002288011368 3
 
< 0.1%
0.009632709436 3
 
< 0.1%
0.00846286118 3
 
< 0.1%
0.009669467807 3
 
< 0.1%
Other values (378309) 381386
 
6.9%
(Missing) 5150035
93.1%
ValueCountFrequency (%)
2.146359357 × 10-81
< 0.1%
2.31695978 × 10-81
< 0.1%
3.472484877 × 10-81
< 0.1%
4.198873782 × 10-81
< 0.1%
7.422242732 × 10-81
< 0.1%
ValueCountFrequency (%)
12.02396774 1
< 0.1%
11.65169144 1
< 0.1%
10.46327209 1
< 0.1%
9.738897324 1
< 0.1%
9.737064362 1
< 0.1%

B_30
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.157566794
Minimum-1
Maximum2
Zeros4710663
Zeros (%)85.2%
Negative2016
Negative (%)< 0.1%
Memory size47.5 MiB
2023-03-29T23:50:15.687249image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3915208369
Coefficient of variation (CV)2.484792811
Kurtosis4.870461622
Mean0.157566794
Median Absolute Deviation (MAD)0
Skewness2.343649853
Sum871573
Variance0.1532885657
MonotonicityNot monotonic
2023-03-29T23:50:15.754375image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 4710663
85.2%
1 763955
 
13.8%
2 54817
 
1.0%
-1 2016
 
< 0.1%
ValueCountFrequency (%)
-1 2016
 
< 0.1%
0 4710663
85.2%
1 763955
 
13.8%
2 54817
 
1.0%
ValueCountFrequency (%)
2 54817
 
1.0%
1 763955
 
13.8%
0 4710663
85.2%
-1 2016
 
< 0.1%

S_18
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02646611169
Minimum0
Maximum1
Zeros5385055
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:15.829475image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1605168567
Coefficient of variation (CV)6.064995816
Kurtosis32.81138395
Mean0.02646611169
Median Absolute Deviation (MAD)0
Skewness5.900116278
Sum146396
Variance0.02576566128
MonotonicityNot monotonic
2023-03-29T23:50:15.901331image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5385055
97.4%
1 146396
 
2.6%
ValueCountFrequency (%)
0 5385055
97.4%
1 146396
 
2.6%
ValueCountFrequency (%)
1 146396
 
2.6%
0 5385055
97.4%

D_86
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03249780211
Minimum0
Maximum1
Zeros5351691
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:15.974489image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1773180776
Coefficient of variation (CV)5.456309846
Kurtosis25.80492554
Mean0.03249780211
Median Absolute Deviation (MAD)0
Skewness5.273036716
Sum179760
Variance0.03144170066
MonotonicityNot monotonic
2023-03-29T23:50:16.047006image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5351691
96.8%
1 179760
 
3.2%
ValueCountFrequency (%)
0 5351691
96.8%
1 179760
 
3.2%
ValueCountFrequency (%)
1 179760
 
3.2%
0 5351691
96.8%

D_87
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9986025367
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative5527586
Negative (%)99.9%
Memory size47.5 MiB
2023-03-29T23:50:16.121449image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05284859776
Coefficient of variation (CV)-0.05292255509
Kurtosis1426.166543
Mean-0.9986025367
Median Absolute Deviation (MAD)0
Skewness37.79108397
Sum-5523721
Variance0.002792974285
MonotonicityNot monotonic
2023-03-29T23:50:16.194407image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
-1 5527586
99.9%
1 3865
 
0.1%
ValueCountFrequency (%)
-1 5527586
99.9%
1 3865
 
0.1%
ValueCountFrequency (%)
1 3865
 
0.1%
-1 5527586
99.9%

R_17
Real number (ℝ)

SKEWED  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0111674134
Minimum0
Maximum35
Zeros5496923
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:16.285548image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1991839767
Coefficient of variation (CV)17.83617832
Kurtosis2140.107753
Mean0.0111674134
Median Absolute Deviation (MAD)0
Skewness36.73885937
Sum61772
Variance0.03967425658
MonotonicityNot monotonic
2023-03-29T23:50:16.376381image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 5496923
99.4%
1 23338
 
0.4%
2 5668
 
0.1%
3 2135
 
< 0.1%
4 1294
 
< 0.1%
5 657
 
< 0.1%
6 440
 
< 0.1%
7 272
 
< 0.1%
8 214
 
< 0.1%
9 133
 
< 0.1%
Other values (15) 377
 
< 0.1%
ValueCountFrequency (%)
0 5496923
99.4%
1 23338
 
0.4%
2 5668
 
0.1%
3 2135
 
< 0.1%
4 1294
 
< 0.1%
ValueCountFrequency (%)
35 1
 
< 0.1%
25 1
 
< 0.1%
22 3
 
< 0.1%
21 8
< 0.1%
20 2
 
< 0.1%

R_18
Real number (ℝ)

SKEWED  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002841930625
Minimum0
Maximum31
Zeros5531015
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:16.479057image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0455755665
Coefficient of variation (CV)160.3683288
Kurtosis97717.20157
Mean0.0002841930625
Median Absolute Deviation (MAD)0
Skewness262.866649
Sum1572
Variance0.002077132262
MonotonicityNot monotonic
2023-03-29T23:50:16.583305image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 5531015
> 99.9%
1 164
 
< 0.1%
2 75
 
< 0.1%
4 41
 
< 0.1%
3 38
 
< 0.1%
5 30
 
< 0.1%
7 20
 
< 0.1%
6 17
 
< 0.1%
10 10
 
< 0.1%
9 10
 
< 0.1%
Other values (10) 31
 
< 0.1%
ValueCountFrequency (%)
0 5531015
> 99.9%
1 164
 
< 0.1%
2 75
 
< 0.1%
3 38
 
< 0.1%
4 41
 
< 0.1%
ValueCountFrequency (%)
31 1
< 0.1%
23 1
< 0.1%
18 2
< 0.1%
17 2
< 0.1%
16 1
< 0.1%

D_88
Real number (ℝ)

Distinct6004
Distinct (%)100.0%
Missing5525447
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean0.1723038637
Minimum-3.196266334 × 10-5
Maximum2.669250011
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)< 0.1%
Memory size63.3 MiB
2023-03-29T23:50:16.697869image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3.196266334 × 10-5
5-th percentile0.006942096492
Q10.02719201706
median0.08561606333
Q30.234028317
95-th percentile0.5872757345
Maximum2.669250011
Range2.669281974
Interquartile range (IQR)0.2068363

Descriptive statistics

Standard deviation0.2180630714
Coefficient of variation (CV)1.265572731
Kurtosis12.1286068
Mean0.1723038637
Median Absolute Deviation (MAD)0.07211588323
Skewness2.629743576
Sum1034.512397
Variance0.04755150154
MonotonicityNot monotonic
2023-03-29T23:50:16.814926image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1660668254 1
 
< 0.1%
0.01446863636 1
 
< 0.1%
0.007763899863 1
 
< 0.1%
0.01313611586 1
 
< 0.1%
0.01743473485 1
 
< 0.1%
0.2781085372 1
 
< 0.1%
0.4007171094 1
 
< 0.1%
0.8114545345 1
 
< 0.1%
0.2960821986 1
 
< 0.1%
0.5832036734 1
 
< 0.1%
Other values (5994) 5994
 
0.1%
(Missing) 5525447
99.9%
ValueCountFrequency (%)
-3.196266334 × 10-51
< 0.1%
4.055298632 × 10-51
< 0.1%
0.000387446722 1
< 0.1%
0.0003955652064 1
< 0.1%
0.0004829068785 1
< 0.1%
ValueCountFrequency (%)
2.669250011 1
< 0.1%
2.634242773 1
< 0.1%
2.081312418 1
< 0.1%
1.959670663 1
< 0.1%
1.712224364 1
< 0.1%

B_31
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9969434783
Minimum0
Maximum1
Zeros16907
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:16.906541image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05520126741
Coefficient of variation (CV)0.05537050857
Kurtosis322.1726372
Mean0.9969434783
Median Absolute Deviation (MAD)0
Skewness-18.0047916
Sum5514544
Variance0.003047179923
MonotonicityNot monotonic
2023-03-29T23:50:16.978952image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 5514544
99.7%
0 16907
 
0.3%
ValueCountFrequency (%)
0 16907
 
0.3%
1 5514544
99.7%
ValueCountFrequency (%)
1 5514544
99.7%
0 16907
 
0.3%

S_19
Real number (ℝ)

Distinct4923015
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005025945223
Minimum3.15639026 × 10-9
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:17.122043image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3.15639026 × 10-9
5-th percentile0.0004993738257
Q10.002504170523
median0.005007636733
Q30.007510969182
95-th percentile0.009515487123
Maximum1
Range0.9999999968
Interquartile range (IQR)0.005006798659

Descriptive statistics

Standard deviation0.003068897175
Coefficient of variation (CV)0.6106109474
Kurtosis2314.93042
Mean0.005025945223
Median Absolute Deviation (MAD)0.002503396943
Skewness9.757461548
Sum27800.76973
Variance9.418129594 × 10-6
MonotonicityNot monotonic
2023-03-29T23:50:17.240576image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009447996505 7
 
< 0.1%
0.009182058275 6
 
< 0.1%
0.009457859211 6
 
< 0.1%
0.009444652125 6
 
< 0.1%
0.007857280783 6
 
< 0.1%
0.008594268002 6
 
< 0.1%
0.008637315594 6
 
< 0.1%
0.007915452123 6
 
< 0.1%
0.008305800147 6
 
< 0.1%
0.009437993169 6
 
< 0.1%
Other values (4923005) 5531390
> 99.9%
ValueCountFrequency (%)
3.15639026 × 10-91
< 0.1%
3.442702567 × 10-91
< 0.1%
4.124293351 × 10-91
< 0.1%
6.95168767 × 10-91
< 0.1%
1.140757444 × 10-81
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.4581055343 1
< 0.1%
0.4533495009 1
< 0.1%
0.4086047113 1
< 0.1%
0.3205028772 1
< 0.1%

R_19
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01769372991
Minimum0
Maximum1
Zeros5433579
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:17.333482image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.13183575
Coefficient of variation (CV)7.450986912
Kurtosis51.53525604
Mean0.01769372991
Median Absolute Deviation (MAD)0
Skewness7.316777802
Sum97872
Variance0.01738066497
MonotonicityNot monotonic
2023-03-29T23:50:17.406853image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5433579
98.2%
1 97872
 
1.8%
ValueCountFrequency (%)
0 5433579
98.2%
1 97872
 
1.8%
ValueCountFrequency (%)
1 97872
 
1.8%
0 5433579
98.2%

B_32
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02241527585
Minimum0
Maximum1
Zeros5407462
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:17.586754image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1480298457
Coefficient of variation (CV)6.603971627
Kurtosis39.63539951
Mean0.02241527585
Median Absolute Deviation (MAD)0
Skewness6.452548735
Sum123989
Variance0.02191283522
MonotonicityNot monotonic
2023-03-29T23:50:17.658239image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5407462
97.8%
1 123989
 
2.2%
ValueCountFrequency (%)
0 5407462
97.8%
1 123989
 
2.2%
ValueCountFrequency (%)
1 123989
 
2.2%
0 5407462
97.8%

S_20
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01248804337
Minimum0
Maximum1
Zeros5462374
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:17.731521image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1110499634
Coefficient of variation (CV)8.892503021
Kurtosis75.08931061
Mean0.01248804337
Median Absolute Deviation (MAD)0
Skewness8.780050311
Sum69077
Variance0.01233209437
MonotonicityNot monotonic
2023-03-29T23:50:17.803011image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5462374
98.8%
1 69077
 
1.2%
ValueCountFrequency (%)
0 5462374
98.8%
1 69077
 
1.2%
ValueCountFrequency (%)
1 69077
 
1.2%
0 5462374
98.8%

R_20
Real number (ℝ)

SKEWED  ZEROS 

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0319315854
Minimum-1
Maximum45
Zeros5448048
Zeros (%)98.5%
Negative75
Negative (%)< 0.1%
Memory size47.5 MiB
2023-03-29T23:50:17.903909image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum45
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3780713233
Coefficient of variation (CV)11.84004234
Kurtosis1101.368886
Mean0.0319315854
Median Absolute Deviation (MAD)0
Skewness25.61990483
Sum176628
Variance0.1429379255
MonotonicityNot monotonic
2023-03-29T23:50:18.011846image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 5448048
98.5%
1 46568
 
0.8%
2 19131
 
0.3%
3 6443
 
0.1%
4 4062
 
0.1%
5 2073
 
< 0.1%
6 1363
 
< 0.1%
7 929
 
< 0.1%
8 722
 
< 0.1%
9 479
 
< 0.1%
Other values (33) 1633
 
< 0.1%
ValueCountFrequency (%)
-1 75
 
< 0.1%
0 5448048
98.5%
1 46568
 
0.8%
2 19131
 
0.3%
3 6443
 
0.1%
ValueCountFrequency (%)
45 1
 
< 0.1%
41 1
 
< 0.1%
40 1
 
< 0.1%
39 1
 
< 0.1%
38 3
< 0.1%

R_21
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01661282004
Minimum0
Maximum1
Zeros5439558
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:18.099476image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1278156375
Coefficient of variation (CV)7.69379535
Kurtosis55.21142064
Mean0.01661282004
Median Absolute Deviation (MAD)0
Skewness7.56382183
Sum91893
Variance0.0163368372
MonotonicityNot monotonic
2023-03-29T23:50:18.171986image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5439558
98.3%
1 91893
 
1.7%
ValueCountFrequency (%)
0 5439558
98.3%
1 91893
 
1.7%
ValueCountFrequency (%)
1 91893
 
1.7%
0 5439558
98.3%

B_33
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6066082842
Minimum-1
Maximum1
Zeros2171995
Zeros (%)39.3%
Negative2016
Negative (%)< 0.1%
Memory size47.5 MiB
2023-03-29T23:50:18.246527image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4892480349
Coefficient of variation (CV)0.8065304212
Kurtosis-1.77592331
Mean0.6066082842
Median Absolute Deviation (MAD)0
Skewness-0.4458049087
Sum3355424
Variance0.2393636397
MonotonicityNot monotonic
2023-03-29T23:50:18.322390image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3357440
60.7%
0 2171995
39.3%
-1 2016
 
< 0.1%
ValueCountFrequency (%)
-1 2016
 
< 0.1%
0 2171995
39.3%
1 3357440
60.7%
ValueCountFrequency (%)
1 3357440
60.7%
0 2171995
39.3%
-1 2016
 
< 0.1%

D_89
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007600898932
Minimum-1
Maximum9
Zeros5452498
Zeros (%)98.6%
Negative29563
Negative (%)0.5%
Memory size47.5 MiB
2023-03-29T23:50:18.406226image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1842551107
Coefficient of variation (CV)24.24122625
Kurtosis500.6678587
Mean0.007600898932
Median Absolute Deviation (MAD)0
Skewness16.08948011
Sum42044
Variance0.03394994582
MonotonicityNot monotonic
2023-03-29T23:50:18.481751image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 5452498
98.6%
1 37370
 
0.7%
-1 29563
 
0.5%
2 7135
 
0.1%
3 2424
 
< 0.1%
4 1149
 
< 0.1%
5 569
 
< 0.1%
6 347
 
< 0.1%
9 159
 
< 0.1%
7 155
 
< 0.1%
ValueCountFrequency (%)
-1 29563
 
0.5%
0 5452498
98.6%
1 37370
 
0.7%
2 7135
 
0.1%
3 2424
 
< 0.1%
ValueCountFrequency (%)
9 159
 
< 0.1%
8 82
 
< 0.1%
7 155
 
< 0.1%
6 347
< 0.1%
5 569
< 0.1%

R_22
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003605563893
Minimum0
Maximum1
Zeros5511507
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:18.556251image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05993800507
Coefficient of variation (CV)16.62375341
Kurtosis272.3529934
Mean0.003605563893
Median Absolute Deviation (MAD)0
Skewness16.56360151
Sum19944
Variance0.003592564451
MonotonicityNot monotonic
2023-03-29T23:50:18.628656image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5511507
99.6%
1 19944
 
0.4%
ValueCountFrequency (%)
0 5511507
99.6%
1 19944
 
0.4%
ValueCountFrequency (%)
1 19944
 
0.4%
0 5511507
99.6%

R_23
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002957632636
Minimum0
Maximum1
Zeros5529815
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:18.702322image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01719522728
Coefficient of variation (CV)58.13848235
Kurtosis3376.085867
Mean0.0002957632636
Median Absolute Deviation (MAD)0
Skewness58.12129254
Sum1636
Variance0.0002956758411
MonotonicityNot monotonic
2023-03-29T23:50:18.774303image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5529815
> 99.9%
1 1636
 
< 0.1%
ValueCountFrequency (%)
0 5529815
> 99.9%
1 1636
 
< 0.1%
ValueCountFrequency (%)
1 1636
 
< 0.1%
0 5529815
> 99.9%

D_91
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08273688043
Minimum-1
Maximum6
Zeros4847176
Zeros (%)87.6%
Negative157216
Negative (%)2.8%
Memory size47.5 MiB
2023-03-29T23:50:18.849109image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.41151256
Coefficient of variation (CV)4.973750011
Kurtosis12.373378
Mean0.08273688043
Median Absolute Deviation (MAD)0
Skewness2.38809763
Sum457655
Variance0.169342587
MonotonicityNot monotonic
2023-03-29T23:50:18.922875image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 4847176
87.6%
1 451105
 
8.2%
-1 157216
 
2.8%
2 65513
 
1.2%
3 9169
 
0.2%
4 1139
 
< 0.1%
5 121
 
< 0.1%
6 12
 
< 0.1%
ValueCountFrequency (%)
-1 157216
 
2.8%
0 4847176
87.6%
1 451105
 
8.2%
2 65513
 
1.2%
3 9169
 
0.2%
ValueCountFrequency (%)
6 12
 
< 0.1%
5 121
 
< 0.1%
4 1139
 
< 0.1%
3 9169
 
0.2%
2 65513
1.2%

D_92
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08601974419
Minimum0
Maximum2
Zeros5076612
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:19.002263image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2936056344
Coefficient of variation (CV)3.413235382
Kurtosis11.22017734
Mean0.08601974419
Median Absolute Deviation (MAD)0
Skewness3.393481181
Sum475814
Variance0.08620426858
MonotonicityNot monotonic
2023-03-29T23:50:19.075581image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5076612
91.8%
1 433864
 
7.8%
2 20975
 
0.4%
ValueCountFrequency (%)
0 5076612
91.8%
1 433864
 
7.8%
2 20975
 
0.4%
ValueCountFrequency (%)
2 20975
 
0.4%
1 433864
 
7.8%
0 5076612
91.8%

D_93
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01010548588
Minimum0
Maximum1
Zeros5475553
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:19.158437image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1000168328
Coefficient of variation (CV)9.897280939
Kurtosis93.96644695
Mean0.01010548588
Median Absolute Deviation (MAD)0
Skewness9.79624484
Sum55898
Variance0.01000336685
MonotonicityNot monotonic
2023-03-29T23:50:19.231178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5475553
99.0%
1 55898
 
1.0%
ValueCountFrequency (%)
0 5475553
99.0%
1 55898
 
1.0%
ValueCountFrequency (%)
1 55898
 
1.0%
0 5475553
99.0%

D_94
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01727195993
Minimum0
Maximum1
Zeros5435912
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:19.304877image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1302829321
Coefficient of variation (CV)7.54303117
Kurtosis52.91493339
Mean0.01727195993
Median Absolute Deviation (MAD)0
Skewness7.410459787
Sum95539
Variance0.01697364239
MonotonicityNot monotonic
2023-03-29T23:50:19.500715image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5435912
98.3%
1 95539
 
1.7%
ValueCountFrequency (%)
0 5435912
98.3%
1 95539
 
1.7%
ValueCountFrequency (%)
1 95539
 
1.7%
0 5435912
98.3%

R_24
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0139180479
Minimum0
Maximum1
Zeros5454464
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:19.594966image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1171509212
Coefficient of variation (CV)8.417194851
Kurtosis66.86333237
Mean0.0139180479
Median Absolute Deviation (MAD)0
Skewness8.298391904
Sum76987
Variance0.01372433833
MonotonicityNot monotonic
2023-03-29T23:50:19.679288image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5454464
98.6%
1 76987
 
1.4%
ValueCountFrequency (%)
0 5454464
98.6%
1 76987
 
1.4%
ValueCountFrequency (%)
1 76987
 
1.4%
0 5454464
98.6%

R_25
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00320566882
Minimum0
Maximum1
Zeros5513719
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:19.767833image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05652780807
Coefficient of variation (CV)17.63370181
Kurtosis306.9508778
Mean0.00320566882
Median Absolute Deviation (MAD)0
Skewness17.57699539
Sum17732
Variance0.003195393085
MonotonicityNot monotonic
2023-03-29T23:50:19.853795image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5513719
99.7%
1 17732
 
0.3%
ValueCountFrequency (%)
0 5513719
99.7%
1 17732
 
0.3%
ValueCountFrequency (%)
1 17732
 
0.3%
0 5513719
99.7%

D_96
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0307201492
Minimum0
Maximum1
Zeros5361524
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:19.937822image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1725584742
Coefficient of variation (CV)5.617110551
Kurtosis27.58364504
Mean0.0307201492
Median Absolute Deviation (MAD)0
Skewness5.439084029
Sum169927
Variance0.02977642701
MonotonicityNot monotonic
2023-03-29T23:50:20.011038image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5361524
96.9%
1 169927
 
3.1%
ValueCountFrequency (%)
0 5361524
96.9%
1 169927
 
3.1%
ValueCountFrequency (%)
1 169927
 
3.1%
0 5361524
96.9%

S_22
Real number (ℝ)

Distinct2330970
Distinct (%)42.3%
Missing19024
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.7791036903
Minimum-91.99815369
Maximum1.032726645
Zeros0
Zeros (%)0.0%
Negative2931
Negative (%)0.1%
Memory size63.3 MiB
2023-03-29T23:50:20.129242image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-91.99815369
5-th percentile0.2960494757
Q10.8111971617
median0.9422134757
Q30.9647727013
95-th percentile0.9887996137
Maximum1.032726645
Range93.03088033
Interquartile range (IQR)0.1535755396

Descriptive statistics

Standard deviation0.7187469602
Coefficient of variation (CV)0.9225305554
Kurtosis6328.587402
Mean0.7791036903
Median Absolute Deviation (MAD)0.03084743023
Skewness-70.34739685
Sum4294752.218
Variance0.5165972114
MonotonicityNot monotonic
2023-03-29T23:50:20.241772image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3006779253 16
 
< 0.1%
0.9530993104 16
 
< 0.1%
0.9727634192 16
 
< 0.1%
0.9536722898 16
 
< 0.1%
0.9620525241 16
 
< 0.1%
0.3023543358 16
 
< 0.1%
0.9580269456 15
 
< 0.1%
0.9629922509 15
 
< 0.1%
0.958053112 15
 
< 0.1%
0.9582684636 15
 
< 0.1%
Other values (2330960) 5512271
99.7%
(Missing) 19024
 
0.3%
ValueCountFrequency (%)
-91.99815369 1
< 0.1%
-91.99741364 1
< 0.1%
-91.99684906 1
< 0.1%
-91.9956665 1
< 0.1%
-91.99552155 1
< 0.1%
ValueCountFrequency (%)
1.032726645 1
< 0.1%
1.032724977 1
< 0.1%
1.032703757 1
< 0.1%
1.032702565 1
< 0.1%
1.032702208 1
< 0.1%

S_23
Real number (ℝ)

Distinct1252495
Distinct (%)22.6%
Missing445
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1796774203
Minimum-206.0854645
Maximum885.3348999
Zeros0
Zeros (%)0.0%
Negative54261
Negative (%)1.0%
Memory size63.3 MiB
2023-03-29T23:50:20.366710image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-206.0854645
5-th percentile0.1311867386
Q10.1334253587
median0.1362230927
Q30.1390173547
95-th percentile0.53114371
Maximum885.3348999
Range1091.420364
Interquartile range (IQR)0.005591996014

Descriptive statistics

Standard deviation0.8519579768
Coefficient of variation (CV)4.741597333
Kurtosis467893.4375
Mean0.1796774203
Median Absolute Deviation (MAD)0.002795949578
Skewness571.807373
Sum993796.8897
Variance0.7258324027
MonotonicityNot monotonic
2023-03-29T23:50:20.478856image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1354342401 23
 
< 0.1%
0.1385190934 22
 
< 0.1%
0.1355860233 22
 
< 0.1%
0.1400112063 21
 
< 0.1%
0.1342896074 21
 
< 0.1%
0.1365700513 21
 
< 0.1%
0.1372629553 21
 
< 0.1%
0.138162002 21
 
< 0.1%
0.1386343688 21
 
< 0.1%
0.135141179 21
 
< 0.1%
Other values (1252485) 5530792
> 99.9%
(Missing) 445
 
< 0.1%
ValueCountFrequency (%)
-206.0854645 1
< 0.1%
-205.0727081 1
< 0.1%
-205.0722961 1
< 0.1%
-191.7886047 1
< 0.1%
-170.2370148 1
< 0.1%
ValueCountFrequency (%)
885.3348999 1
< 0.1%
682.6593628 1
< 0.1%
579.8355713 1
< 0.1%
579.2762451 1
< 0.1%
568.6281128 1
< 0.1%

S_24
Real number (ℝ)

Distinct2793098
Distinct (%)50.7%
Missing18593
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.7349202552
Minimum-90.48382568
Maximum1.055637956
Zeros0
Zeros (%)0.0%
Negative3162
Negative (%)0.1%
Memory size63.3 MiB
2023-03-29T23:50:20.617491image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-90.48382568
5-th percentile0.07735301219
Q10.80945158
median0.9493249059
Q30.971576035
95-th percentile0.9915893763
Maximum1.055637956
Range91.53946364
Interquartile range (IQR)0.162124455

Descriptive statistics

Standard deviation0.835672617
Coefficient of variation (CV)1.137092917
Kurtosis5217.341309
Mean0.7349202552
Median Absolute Deviation (MAD)0.02979022264
Skewness-63.1240387
Sum4051511.008
Variance0.6983487606
MonotonicityNot monotonic
2023-03-29T23:50:20.729419image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9769561291 16
 
< 0.1%
0.9711976051 16
 
< 0.1%
0.9750125408 16
 
< 0.1%
0.961019516 16
 
< 0.1%
0.9764380455 15
 
< 0.1%
0.9657381773 15
 
< 0.1%
0.9740731716 15
 
< 0.1%
0.9756526351 15
 
< 0.1%
0.9737171531 15
 
< 0.1%
0.9722614884 15
 
< 0.1%
Other values (2793088) 5512704
99.7%
(Missing) 18593
 
0.3%
ValueCountFrequency (%)
-90.48382568 1
< 0.1%
-90.48365784 1
< 0.1%
-90.4835968 1
< 0.1%
-90.48342133 1
< 0.1%
-90.48295593 1
< 0.1%
ValueCountFrequency (%)
1.055637956 1
< 0.1%
1.054368854 1
< 0.1%
1.054287434 1
< 0.1%
1.053946376 1
< 0.1%
1.053849816 1
< 0.1%

S_25
Real number (ℝ)

Distinct755544
Distinct (%)13.7%
Missing12847
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.9250379108
Minimum-2.45345068
Maximum4.052047729
Zeros0
Zeros (%)0.0%
Negative53790
Negative (%)1.0%
Memory size63.3 MiB
2023-03-29T23:50:20.850106image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2.45345068
5-th percentile0.5399354041
Q10.9708744884
median0.9736766219
Q30.9764816165
95-th percentile0.9787226319
Maximum4.052047729
Range6.505498409
Interquartile range (IQR)0.005607128143

Descriptive statistics

Standard deviation0.2068055421
Coefficient of variation (CV)0.2235643963
Kurtosis57.56887436
Mean0.9250379108
Median Absolute Deviation (MAD)0.002803564072
Skewness-6.106595039
Sum5104917.915
Variance0.04276853055
MonotonicityNot monotonic
2023-03-29T23:50:20.961008image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9753270149 55
 
< 0.1%
0.9707853794 55
 
< 0.1%
0.9740834236 54
 
< 0.1%
0.9749656916 54
 
< 0.1%
0.9699748755 54
 
< 0.1%
0.9707500935 53
 
< 0.1%
0.9737950563 53
 
< 0.1%
0.9764066339 53
 
< 0.1%
0.9756724834 53
 
< 0.1%
0.9752178788 53
 
< 0.1%
Other values (755534) 5518067
99.8%
(Missing) 12847
 
0.2%
ValueCountFrequency (%)
-2.45345068 1
< 0.1%
-2.453449965 1
< 0.1%
-2.453443289 1
< 0.1%
-2.453436613 1
< 0.1%
-2.453435898 1
< 0.1%
ValueCountFrequency (%)
4.052047729 1
< 0.1%
4.014570713 1
< 0.1%
3.78870821 1
< 0.1%
3.771502495 1
< 0.1%
3.733141899 1
< 0.1%

S_26
Real number (ℝ)

Distinct5157577
Distinct (%)93.3%
Missing634
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.06683992832
Minimum5.137101411 × 10-9
Maximum136.6659851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:21.119824image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5.137101411 × 10-9
5-th percentile0.0006907263887
Q10.003413338913
median0.006754730362
Q30.01103298645
95-th percentile0.2871404529
Maximum136.6659851
Range136.6659851
Interquartile range (IQR)0.007619647542

Descriptive statistics

Standard deviation0.4638080597
Coefficient of variation (CV)6.93908673
Kurtosis11852.33594
Mean0.06683992832
Median Absolute Deviation (MAD)0.003387914971
Skewness78.94117737
Sum369679.4119
Variance0.2151179165
MonotonicityNot monotonic
2023-03-29T23:50:21.230746image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.008505737409 7
 
< 0.1%
0.004861793946 6
 
< 0.1%
0.009139142931 6
 
< 0.1%
0.008028569631 6
 
< 0.1%
0.007812821306 6
 
< 0.1%
0.008270924911 6
 
< 0.1%
0.007838846184 6
 
< 0.1%
0.008857439272 6
 
< 0.1%
0.007580600213 6
 
< 0.1%
0.009771429934 6
 
< 0.1%
Other values (5157567) 5530756
> 99.9%
(Missing) 634
 
< 0.1%
ValueCountFrequency (%)
5.137101411 × 10-91
< 0.1%
1.067428101 × 10-81
< 0.1%
1.251652648 × 10-81
< 0.1%
1.775761937 × 10-81
< 0.1%
1.964871998 × 10-81
< 0.1%
ValueCountFrequency (%)
136.6659851 1
< 0.1%
115.9206848 1
< 0.1%
112.3444748 1
< 0.1%
110.0487518 1
< 0.1%
100.8569565 1
< 0.1%

D_102
Real number (ℝ)

Distinct5187619
Distinct (%)94.5%
Missing40655
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean0.1898365117
Minimum9.62058655 × 10-10
Maximum1.089998126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:21.517250image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum9.62058655 × 10-10
5-th percentile0.0008902418194
Q10.004453617847
median0.008898507804
Q30.3278337196
95-th percentile0.8104182482
Maximum1.089998126
Range1.089998125
Interquartile range (IQR)0.3233801017

Descriptive statistics

Standard deviation0.2748047113
Coefficient of variation (CV)1.447586183
Kurtosis0.9215800762
Mean0.1898365117
Median Absolute Deviation (MAD)0.007790999487
Skewness1.413983464
Sum1042353.559
Variance0.07551762462
MonotonicityNot monotonic
2023-03-29T23:50:21.634967image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.008626493625 6
 
< 0.1%
0.008167142048 5
 
< 0.1%
0.009574049152 5
 
< 0.1%
0.007901093923 5
 
< 0.1%
0.540148437 5
 
< 0.1%
0.006510775071 5
 
< 0.1%
0.008773532696 5
 
< 0.1%
0.00975567475 5
 
< 0.1%
1.080923915 5
 
< 0.1%
0.008065314032 5
 
< 0.1%
Other values (5187609) 5490745
99.3%
(Missing) 40655
 
0.7%
ValueCountFrequency (%)
9.62058655 × 10-101
< 0.1%
1.315939446 × 10-81
< 0.1%
2.059471349 × 10-81
< 0.1%
2.323852399 × 10-81
< 0.1%
2.387245956 × 10-81
< 0.1%
ValueCountFrequency (%)
1.089998126 1
< 0.1%
1.089997888 1
< 0.1%
1.089997649 1
< 0.1%
1.089997411 1
< 0.1%
1.089996815 1
< 0.1%

D_103
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4354184824
Minimum-1
Maximum1
Zeros2919859
Zeros (%)52.8%
Negative101548
Negative (%)1.8%
Memory size47.5 MiB
2023-03-29T23:50:21.730090image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5315504354
Coefficient of variation (CV)1.220780598
Kurtosis-1.208538401
Mean0.4354184824
Median Absolute Deviation (MAD)0
Skewness-0.1079265195
Sum2408496
Variance0.2825458653
MonotonicityNot monotonic
2023-03-29T23:50:21.804247image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 2919859
52.8%
1 2510044
45.4%
-1 101548
 
1.8%
ValueCountFrequency (%)
-1 101548
 
1.8%
0 2919859
52.8%
1 2510044
45.4%
ValueCountFrequency (%)
1 2510044
45.4%
0 2919859
52.8%
-1 101548
 
1.8%

D_104
Real number (ℝ)

MISSING  ZEROS 

Distinct850543
Distinct (%)15.7%
Missing101548
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.4479381499
Minimum0
Maximum1.302976131
Zeros2919859
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:21.917451image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.9644329846
95-th percentile0.9895849228
Maximum1.302976131
Range1.302976131
Interquartile range (IQR)0.9644329846

Descriptive statistics

Standard deviation0.4832307994
Coefficient of variation (CV)1.078789113
Kurtosis-1.974840403
Mean0.4479381499
Median Absolute Deviation (MAD)0
Skewness0.1527250111
Sum2432260.704
Variance0.2335119992
MonotonicityNot monotonic
2023-03-29T23:50:22.038370image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2919859
52.8%
0.9585398436 17
 
< 0.1%
0.9637889862 17
 
< 0.1%
0.957698822 16
 
< 0.1%
0.9617212415 16
 
< 0.1%
0.9586063623 16
 
< 0.1%
0.9563607574 16
 
< 0.1%
0.9579591751 16
 
< 0.1%
0.9550952911 16
 
< 0.1%
0.9570168257 16
 
< 0.1%
Other values (850533) 2509898
45.4%
(Missing) 101548
 
1.8%
ValueCountFrequency (%)
0 2919859
52.8%
0.9442356229 1
 
< 0.1%
0.9442388415 1
 
< 0.1%
0.9442402124 1
 
< 0.1%
0.9442407489 1
 
< 0.1%
ValueCountFrequency (%)
1.302976131 1
< 0.1%
1.301292419 1
< 0.1%
1.299110293 1
< 0.1%
1.298339963 1
< 0.1%
1.293473125 1
< 0.1%

D_105
Real number (ℝ)

Distinct2414778
Distinct (%)96.2%
Missing3021431
Missing (%)54.6%
Infinite0
Infinite (%)0.0%
Mean0.3701220773
Minimum-0.02640481852
Maximum5.631732464
Zeros0
Zeros (%)0.0%
Negative13721
Negative (%)0.2%
Memory size63.3 MiB
2023-03-29T23:50:22.178017image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.02640481852
5-th percentile0.03629636597
Q10.1706198789
median0.3338461369
Q30.5256951749
95-th percentile0.8319368571
Maximum5.631732464
Range5.658137282
Interquartile range (IQR)0.355075296

Descriptive statistics

Standard deviation0.2505208552
Coefficient of variation (CV)0.6768600701
Kurtosis3.801808119
Mean0.3701220773
Median Absolute Deviation (MAD)0.1748812795
Skewness0.935067296
Sum929013.8165
Variance0.06276070327
MonotonicityNot monotonic
2023-03-29T23:50:22.284998image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3649756014 5
 
< 0.1%
0.5068244934 4
 
< 0.1%
0.603708148 4
 
< 0.1%
0.5582024455 4
 
< 0.1%
0.2631163299 4
 
< 0.1%
0.5241652727 4
 
< 0.1%
0.594656527 4
 
< 0.1%
0.2867368162 4
 
< 0.1%
0.5514484644 4
 
< 0.1%
0.5928453803 4
 
< 0.1%
Other values (2414768) 2509979
45.4%
(Missing) 3021431
54.6%
ValueCountFrequency (%)
-0.02640481852 1
< 0.1%
-0.02592384629 1
< 0.1%
-0.02578216605 1
< 0.1%
-0.02549012937 1
< 0.1%
-0.0252812244 1
< 0.1%
ValueCountFrequency (%)
5.631732464 1
< 0.1%
5.614233017 1
< 0.1%
5.593268394 1
< 0.1%
5.586011887 1
< 0.1%
5.573585033 1
< 0.1%

D_106
Real number (ℝ)

SKEWED  ZEROS 

Distinct309
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4513855406
Minimum-1
Maximum14417
Zeros84568
Zeros (%)1.5%
Negative4990102
Negative (%)90.2%
Memory size52.8 MiB
2023-03-29T23:50:22.400870image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile3
Maximum14417
Range14418
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.200739515
Coefficient of variation (CV)-20.38332797
Kurtosis1347042.865
Mean-0.4513855406
Median Absolute Deviation (MAD)0
Skewness1015.67126
Sum-2496817
Variance84.65360763
MonotonicityNot monotonic
2023-03-29T23:50:22.512808image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 4990102
90.2%
0 84568
 
1.5%
2 82179
 
1.5%
3 71538
 
1.3%
1 61563
 
1.1%
4 53239
 
1.0%
5 46776
 
0.8%
6 34352
 
0.6%
7 23115
 
0.4%
8 19109
 
0.3%
Other values (299) 64910
 
1.2%
ValueCountFrequency (%)
-1 4990102
90.2%
0 84568
 
1.5%
1 61563
 
1.1%
2 82179
 
1.5%
3 71538
 
1.3%
ValueCountFrequency (%)
14417 1
< 0.1%
8203 1
< 0.1%
7859 1
< 0.1%
6400 1
< 0.1%
3000 1
< 0.1%

D_107
Real number (ℝ)

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5762133661
Minimum-1
Maximum21
Zeros2919859
Zeros (%)52.8%
Negative101548
Negative (%)1.8%
Memory size47.5 MiB
2023-03-29T23:50:22.621504image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum21
Range22
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.794397698
Coefficient of variation (CV)1.37865198
Kurtosis4.434147681
Mean0.5762133661
Median Absolute Deviation (MAD)0
Skewness1.288859963
Sum3187296
Variance0.6310677025
MonotonicityNot monotonic
2023-03-29T23:50:22.707194image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 2919859
52.8%
1 1875253
33.9%
2 520153
 
9.4%
-1 101548
 
1.8%
3 93165
 
1.7%
4 16661
 
0.3%
5 3344
 
0.1%
6 827
 
< 0.1%
7 369
 
< 0.1%
8 101
 
< 0.1%
Other values (12) 171
 
< 0.1%
ValueCountFrequency (%)
-1 101548
 
1.8%
0 2919859
52.8%
1 1875253
33.9%
2 520153
 
9.4%
3 93165
 
1.7%
ValueCountFrequency (%)
21 2
 
< 0.1%
20 6
< 0.1%
19 5
< 0.1%
18 1
 
< 0.1%
17 11
< 0.1%

B_36
Real number (ℝ)

Distinct4929153
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006359805628
Minimum1.160855523 × 10-9
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:22.864059image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.160855523 × 10-9
5-th percentile0.0005020686658
Q10.002513542422
median0.00502864318
Q30.007542552892
95-th percentile0.009554305114
Maximum1
Range0.9999999988
Interquartile range (IQR)0.00502901047

Descriptive statistics

Standard deviation0.02123927884
Coefficient of variation (CV)3.339611315
Kurtosis340.7558594
Mean0.006359805628
Median Absolute Deviation (MAD)0.002514526015
Skewness17.54699135
Sum35178.9532
Variance0.0004511069274
MonotonicityNot monotonic
2023-03-29T23:50:22.981632image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009501909837 7
 
< 0.1%
0.008616501465 6
 
< 0.1%
0.009723125026 6
 
< 0.1%
0.009007017128 6
 
< 0.1%
0.009514027275 6
 
< 0.1%
0.009210268036 6
 
< 0.1%
0.008403072134 6
 
< 0.1%
0.009871332906 6
 
< 0.1%
0.008492568508 6
 
< 0.1%
0.009313188493 6
 
< 0.1%
Other values (4929143) 5531390
> 99.9%
ValueCountFrequency (%)
1.160855523 × 10-91
< 0.1%
6.703928523 × 10-91
< 0.1%
7.628498722 × 10-91
< 0.1%
8.157550191 × 10-91
< 0.1%
1.01840687 × 10-81
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9798898101 1
< 0.1%
0.946213603 1
< 0.1%
0.9229665995 1
< 0.1%
0.8979709744 1
< 0.1%

B_37
Real number (ℝ)

Distinct5318922
Distinct (%)96.2%
Missing56
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1231896083
Minimum-7.604272842
Maximum1.327811956
Zeros0
Zeros (%)0.0%
Negative19862
Negative (%)0.4%
Memory size63.3 MiB
2023-03-29T23:50:23.184162image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-7.604272842
5-th percentile0.002095262823
Q10.00883487938
median0.03114088625
Q30.1238671206
95-th percentile0.6021711409
Maximum1.327811956
Range8.932084799
Interquartile range (IQR)0.1150322412

Descriptive statistics

Standard deviation0.2117769718
Coefficient of variation (CV)1.719113931
Kurtosis8.626584053
Mean0.1231896083
Median Absolute Deviation (MAD)0.02629973181
Skewness2.685726881
Sum681410.3835
Variance0.04484948888
MonotonicityNot monotonic
2023-03-29T23:50:23.407985image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00897630956 5
 
< 0.1%
0.006250443868 5
 
< 0.1%
0.009018197656 5
 
< 0.1%
0.009425790049 5
 
< 0.1%
0.4564682841 5
 
< 0.1%
0.009692028165 5
 
< 0.1%
0.03269821033 5
 
< 0.1%
0.1262129396 5
 
< 0.1%
0.02838472277 4
 
< 0.1%
0.208131358 4
 
< 0.1%
Other values (5318912) 5531347
> 99.9%
(Missing) 56
 
< 0.1%
ValueCountFrequency (%)
-7.604272842 1
< 0.1%
-5.316911697 1
< 0.1%
-4.146368504 1
< 0.1%
-4.1094203 1
< 0.1%
-3.800256968 1
< 0.1%
ValueCountFrequency (%)
1.327811956 1
< 0.1%
1.327811122 1
< 0.1%
1.327811003 1
< 0.1%
1.327810884 1
< 0.1%
1.327810407 1
< 0.1%

R_26
Real number (ℝ)

SKEWED  ZEROS 

Distinct158
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6441581061
Minimum-1
Maximum266
Zeros290052
Zeros (%)5.2%
Negative4922146
Negative (%)89.0%
Memory size52.8 MiB
2023-03-29T23:50:23.518377image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile1
Maximum266
Range267
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.485525501
Coefficient of variation (CV)-3.858564346
Kurtosis1543.760133
Mean-0.6441581061
Median Absolute Deviation (MAD)0
Skewness29.78074946
Sum-3563129
Variance6.177837018
MonotonicityNot monotonic
2023-03-29T23:50:23.634802image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 4922146
89.0%
0 290052
 
5.2%
1 127655
 
2.3%
2 68725
 
1.2%
3 34278
 
0.6%
4 21256
 
0.4%
5 13472
 
0.2%
6 9749
 
0.2%
7 7017
 
0.1%
8 5381
 
0.1%
Other values (148) 31720
 
0.6%
ValueCountFrequency (%)
-1 4922146
89.0%
0 290052
 
5.2%
1 127655
 
2.3%
2 68725
 
1.2%
3 34278
 
0.6%
ValueCountFrequency (%)
266 7
< 0.1%
257 7
< 0.1%
243 3
< 0.1%
230 3
< 0.1%
217 7
< 0.1%

R_27
Real number (ℝ)

Distinct685818
Distinct (%)12.7%
Missing128703
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean0.8936940813
Minimum-0.02571099252
Maximum1.00999999
Zeros0
Zeros (%)0.0%
Negative21290
Negative (%)0.4%
Memory size63.3 MiB
2023-03-29T23:50:23.757498image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.02571099252
5-th percentile0.01587944748
Q11.001545191
median1.004364967
Q31.00718224
95-th percentile1.009437084
Maximum1.00999999
Range1.035710983
Interquartile range (IQR)0.005637049675

Descriptive statistics

Standard deviation0.312307328
Coefficient of variation (CV)0.3494566368
Kurtosis4.00103426
Mean0.8936940813
Median Absolute Deviation (MAD)0.002818465233
Skewness-2.449319601
Sum4828403.91
Variance0.09753587097
MonotonicityNot monotonic
2023-03-29T23:50:23.874643image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.001255751 93
 
< 0.1%
1.000820756 90
 
< 0.1%
1.0097543 89
 
< 0.1%
1.009043574 88
 
< 0.1%
1.004495502 88
 
< 0.1%
1.005136132 88
 
< 0.1%
1.009734869 87
 
< 0.1%
1.004955649 87
 
< 0.1%
1.008542776 87
 
< 0.1%
1.000456572 86
 
< 0.1%
Other values (685808) 5401865
97.7%
(Missing) 128703
 
2.3%
ValueCountFrequency (%)
-0.02571099252 1
< 0.1%
-0.02466888726 1
< 0.1%
-0.02413086407 1
< 0.1%
-0.02267553657 1
< 0.1%
-0.01989408582 1
< 0.1%
ValueCountFrequency (%)
1.00999999 20
 
< 0.1%
1.009999871 62
< 0.1%
1.009999752 53
< 0.1%
1.009999633 67
< 0.1%
1.009999514 66
< 0.1%

B_38
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.715349734
Minimum-1
Maximum7
Zeros0
Zeros (%)0.0%
Negative2016
Negative (%)< 0.1%
Memory size47.5 MiB
2023-03-29T23:50:23.974547image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile1
Q12
median2
Q33
95-th percentile6
Maximum7
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.582625093
Coefficient of variation (CV)0.5828439237
Kurtosis0.7471033233
Mean2.715349734
Median Absolute Deviation (MAD)1
Skewness1.158531673
Sum15019824
Variance2.504702185
MonotonicityNot monotonic
2023-03-29T23:50:24.051653image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 1953232
35.3%
3 1255315
22.7%
1 1160047
21.0%
5 444856
 
8.0%
4 294917
 
5.3%
7 259028
 
4.7%
6 162040
 
2.9%
-1 2016
 
< 0.1%
ValueCountFrequency (%)
-1 2016
 
< 0.1%
1 1160047
21.0%
2 1953232
35.3%
3 1255315
22.7%
4 294917
 
5.3%
ValueCountFrequency (%)
7 259028
 
4.7%
6 162040
 
2.9%
5 444856
 
8.0%
4 294917
 
5.3%
3 1255315
22.7%

D_108
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9944208129
Minimum-1
Maximum9
Zeros27379
Zeros (%)0.5%
Negative5502513
Negative (%)99.5%
Memory size47.5 MiB
2023-03-29T23:50:24.135299image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum9
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.080375985
Coefficient of variation (CV)-0.08082693358
Kurtosis521.9319879
Mean-0.9944208129
Median Absolute Deviation (MAD)0
Skewness17.97074002
Sum-5500590
Variance0.006460298965
MonotonicityNot monotonic
2023-03-29T23:50:24.211694image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1 5502513
99.5%
0 27379
 
0.5%
1 1321
 
< 0.1%
2 171
 
< 0.1%
3 35
 
< 0.1%
4 19
 
< 0.1%
5 5
 
< 0.1%
6 5
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
-1 5502513
99.5%
0 27379
 
0.5%
1 1321
 
< 0.1%
2 171
 
< 0.1%
3 35
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 5
< 0.1%
5 5
< 0.1%

D_109
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001370345683
Minimum-1
Maximum1
Zeros5520677
Zeros (%)99.8%
Negative1597
Negative (%)< 0.1%
Memory size47.5 MiB
2023-03-29T23:50:24.286206image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04411228324
Coefficient of variation (CV)32.19062444
Kurtosis509.4212817
Mean0.001370345683
Median Absolute Deviation (MAD)0
Skewness15.87114423
Sum7580
Variance0.001945893532
MonotonicityNot monotonic
2023-03-29T23:50:24.359646image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5520677
99.8%
1 9177
 
0.2%
-1 1597
 
< 0.1%
ValueCountFrequency (%)
-1 1597
 
< 0.1%
0 5520677
99.8%
1 9177
 
0.2%
ValueCountFrequency (%)
1 9177
 
0.2%
0 5520677
99.8%
-1 1597
 
< 0.1%

D_110
Real number (ℝ)

Distinct30406
Distinct (%)97.0%
Missing5500117
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean0.7392625719
Minimum-0.02374994196
Maximum1.009999633
Zeros0
Zeros (%)0.0%
Negative243
Negative (%)< 0.1%
Memory size63.3 MiB
2023-03-29T23:50:24.467408image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.02374994196
5-th percentile0.1181677569
Q10.5254573822
median0.8788453639
Q31.003895521
95-th percentile1.008789808
Maximum1.009999633
Range1.033749575
Interquartile range (IQR)0.478438139

Descriptive statistics

Standard deviation0.3082941175
Coefficient of variation (CV)0.4170292521
Kurtosis-0.6267072558
Mean0.7392625719
Median Absolute Deviation (MAD)0.1286401749
Skewness-0.8315852284
Sum23164.05343
Variance0.09504526109
MonotonicityNot monotonic
2023-03-29T23:50:24.585304image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.009332776 4
 
< 0.1%
1.00682652 3
 
< 0.1%
1.0010463 3
 
< 0.1%
1.008058786 3
 
< 0.1%
1.008856535 3
 
< 0.1%
1.004291773 3
 
< 0.1%
1.004219174 3
 
< 0.1%
1.004785061 3
 
< 0.1%
1.003022075 3
 
< 0.1%
1.001736045 3
 
< 0.1%
Other values (30396) 31303
 
0.6%
(Missing) 5500117
99.4%
ValueCountFrequency (%)
-0.02374994196 1
< 0.1%
-0.02372923866 1
< 0.1%
-0.02368102036 1
< 0.1%
-0.02361460216 1
< 0.1%
-0.02351949736 1
< 0.1%
ValueCountFrequency (%)
1.009999633 1
< 0.1%
1.00999701 1
< 0.1%
1.009996891 1
< 0.1%
1.009996772 1
< 0.1%
1.009995937 1
< 0.1%

D_111
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9844838181
Minimum-1
Maximum2
Zeros1529
Zeros (%)< 0.1%
Negative5500117
Negative (%)99.4%
Memory size47.5 MiB
2023-03-29T23:50:24.678327image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum2
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2095347601
Coefficient of variation (CV)-0.2128371805
Kurtosis188.2737641
Mean-0.9844838181
Median Absolute Deviation (MAD)0
Skewness13.71107208
Sum-5445624
Variance0.04390481567
MonotonicityNot monotonic
2023-03-29T23:50:24.747280image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-1 5500117
99.4%
2 24688
 
0.4%
1 5117
 
0.1%
0 1529
 
< 0.1%
ValueCountFrequency (%)
-1 5500117
99.4%
0 1529
 
< 0.1%
1 5117
 
0.1%
2 24688
 
0.4%
ValueCountFrequency (%)
2 24688
 
0.4%
1 5117
 
0.1%
0 1529
 
< 0.1%
-1 5500117
99.4%

B_39
Real number (ℝ)

Distinct33557
Distinct (%)99.8%
Missing5497819
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean0.2554725804
Minimum-0.9793140292
Maximum2.060898542
Zeros0
Zeros (%)0.0%
Negative217
Negative (%)< 0.1%
Memory size63.3 MiB
2023-03-29T23:50:24.848109image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.9793140292
5-th percentile0.005001289584
Q10.05839419737
median0.1492253318
Q30.2914263085
95-th percentile1.005300707
Maximum2.060898542
Range3.040212572
Interquartile range (IQR)0.2330321111

Descriptive statistics

Standard deviation0.2978945971
Coefficient of variation (CV)1.166053111
Kurtosis1.689409614
Mean0.2554725804
Median Absolute Deviation (MAD)0.09986455739
Skewness1.66778338
Sum8592.053823
Variance0.08874118328
MonotonicityNot monotonic
2023-03-29T23:50:24.959528image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.001200557 2
 
< 0.1%
1.003445625 2
 
< 0.1%
1.003875494 2
 
< 0.1%
1.001728535 2
 
< 0.1%
1.005592465 2
 
< 0.1%
0.200537771 2
 
< 0.1%
1.002050877 2
 
< 0.1%
1.001882076 2
 
< 0.1%
0.005752888042 2
 
< 0.1%
1.003214359 2
 
< 0.1%
Other values (33547) 33612
 
0.6%
(Missing) 5497819
99.4%
ValueCountFrequency (%)
-0.9793140292 1
< 0.1%
-0.9762035608 1
< 0.1%
-0.9577395916 1
< 0.1%
-0.9433807731 1
< 0.1%
-0.9305100441 1
< 0.1%
ValueCountFrequency (%)
2.060898542 1
< 0.1%
1.642560601 1
< 0.1%
1.170491815 1
< 0.1%
1.091834426 1
< 0.1%
1.091393113 1
< 0.1%

D_112
Real number (ℝ)

Distinct894388
Distinct (%)16.2%
Missing2650
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.8368673002
Minimum4.344639848 × 10-8
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:25.199374image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4.344639848 × 10-8
5-th percentile0.005505407229
Q11
median1
Q31
95-th percentile1
Maximum1
Range0.9999999566
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3675444126
Coefficient of variation (CV)0.4391907923
Kurtosis1.273826361
Mean0.8368673002
Median Absolute Deviation (MAD)0
Skewness-1.80929625
Sum4626872.766
Variance0.1350888908
MonotonicityNot monotonic
2023-03-29T23:50:25.314910image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4618859
83.5%
0.008967779577 4
 
< 0.1%
0.008632308803 4
 
< 0.1%
0.008345262147 3
 
< 0.1%
0.003473303514 3
 
< 0.1%
0.01445574593 3
 
< 0.1%
0.008159388788 3
 
< 0.1%
0.009281002916 3
 
< 0.1%
0.008460514247 3
 
< 0.1%
0.009240060113 3
 
< 0.1%
Other values (894378) 909913
 
16.4%
(Missing) 2650
 
< 0.1%
ValueCountFrequency (%)
4.344639848 × 10-81
< 0.1%
7.391609103 × 10-81
< 0.1%
1.196456054 × 10-71
< 0.1%
1.543515964 × 10-71
< 0.1%
1.952340369 × 10-71
< 0.1%
ValueCountFrequency (%)
1 4618859
83.5%
0.027017029 1
 
< 0.1%
0.02701697126 1
 
< 0.1%
0.0270168595 1
 
< 0.1%
0.0270166453 1
 
< 0.1%

B_40
Real number (ℝ)

Distinct5308815
Distinct (%)96.0%
Missing53
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.2032609038
Minimum1.201275346 × 10-8
Maximum5755.076172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:25.497937image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.201275346 × 10-8
5-th percentile0.003281147033
Q10.01739308937
median0.0583085753
Q30.2451544851
95-th percentile0.6306217939
Maximum5755.076172
Range5755.076172
Interquartile range (IQR)0.2277613957

Descriptive statistics

Standard deviation8.081344604
Coefficient of variation (CV)39.75848013
Kurtosis246288
Mean0.2032609038
Median Absolute Deviation (MAD)0.05201604962
Skewness475.8815308
Sum1124316.957
Variance65.30813599
MonotonicityNot monotonic
2023-03-29T23:50:25.655389image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.008317135274 5
 
< 0.1%
0.5918900967 5
 
< 0.1%
0.03374268487 5
 
< 0.1%
0.02459595166 5
 
< 0.1%
0.08722169697 4
 
< 0.1%
0.02469808608 4
 
< 0.1%
0.06845060736 4
 
< 0.1%
0.02023021877 4
 
< 0.1%
0.04056766629 4
 
< 0.1%
0.07266110927 4
 
< 0.1%
Other values (5308805) 5531354
> 99.9%
(Missing) 53
 
< 0.1%
ValueCountFrequency (%)
1.201275346 × 10-81
< 0.1%
1.838433761 × 10-81
< 0.1%
1.875728195 × 10-81
< 0.1%
2.440081026 × 10-81
< 0.1%
4.033284995 × 10-81
< 0.1%
ValueCountFrequency (%)
5755.076172 1
< 0.1%
4419.316406 1
< 0.1%
4419.315918 1
< 0.1%
4419.313477 1
< 0.1%
4419.312988 1
< 0.1%

S_27
Real number (ℝ)

Distinct3885609
Distinct (%)94.1%
Missing1400935
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean0.2779785779
Minimum4.41707726 × 10-10
Maximum5.456268787
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:25.852449image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4.41707726 × 10-10
5-th percentile0.001272251859
Q10.006364579429
median0.2905142754
Q30.4477964938
95-th percentile0.6760927737
Maximum5.456268787
Range5.456268787
Interquartile range (IQR)0.4414319143

Descriptive statistics

Standard deviation0.3250326812
Coefficient of variation (CV)1.169272408
Kurtosis51.20278549
Mean0.2779785779
Median Absolute Deviation (MAD)0.2783868611
Skewness4.788330555
Sum1148194.964
Variance0.1056462377
MonotonicityNot monotonic
2023-03-29T23:50:25.978836image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2721981704 5
 
< 0.1%
0.3725859821 5
 
< 0.1%
0.5115634203 5
 
< 0.1%
0.424031496 5
 
< 0.1%
0.3784723282 5
 
< 0.1%
0.4226016402 5
 
< 0.1%
0.3849262595 5
 
< 0.1%
0.3613550365 5
 
< 0.1%
0.5648046136 5
 
< 0.1%
0.5000861287 5
 
< 0.1%
Other values (3885599) 4130466
74.7%
(Missing) 1400935
 
25.3%
ValueCountFrequency (%)
4.41707726 × 10-101
< 0.1%
1.959210039 × 10-81
< 0.1%
2.70490137 × 10-81
< 0.1%
4.10930312 × 10-81
< 0.1%
4.191520375 × 10-81
< 0.1%
ValueCountFrequency (%)
5.456268787 1
< 0.1%
5.455334663 1
< 0.1%
5.412450314 1
< 0.1%
5.346263885 1
< 0.1%
5.319809914 1
< 0.1%

D_113
Real number (ℝ)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7035593373
Minimum-1
Maximum125
Zeros3074837
Zeros (%)55.6%
Negative176716
Negative (%)3.2%
Memory size47.5 MiB
2023-03-29T23:50:26.081700image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum125
Range126
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.157139783
Coefficient of variation (CV)1.644693947
Kurtosis78.83417748
Mean0.7035593373
Median Absolute Deviation (MAD)0
Skewness2.450521743
Sum3891704
Variance1.338972478
MonotonicityNot monotonic
2023-03-29T23:50:26.175417image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 3074837
55.6%
1 1213095
 
21.9%
2 614088
 
11.1%
3 277457
 
5.0%
-1 176716
 
3.2%
4 113198
 
2.0%
5 41011
 
0.7%
6 14555
 
0.3%
7 4318
 
0.1%
8 1433
 
< 0.1%
Other values (14) 743
 
< 0.1%
ValueCountFrequency (%)
-1 176716
 
3.2%
0 3074837
55.6%
1 1213095
 
21.9%
2 614088
 
11.1%
3 277457
 
5.0%
ValueCountFrequency (%)
125 3
< 0.1%
38 3
< 0.1%
37 1
 
< 0.1%
36 7
< 0.1%
35 4
< 0.1%

D_114
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5676199608
Minimum-1
Maximum1
Zeros2038257
Zeros (%)36.8%
Negative176716
Negative (%)3.2%
Memory size47.5 MiB
2023-03-29T23:50:26.259392image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5561677676
Coefficient of variation (CV)0.9798241886
Kurtosis-0.364795896
Mean0.5676199608
Median Absolute Deviation (MAD)0
Skewness-0.8253883436
Sum3139762
Variance0.3093225857
MonotonicityNot monotonic
2023-03-29T23:50:26.334790image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3316478
60.0%
0 2038257
36.8%
-1 176716
 
3.2%
ValueCountFrequency (%)
-1 176716
 
3.2%
0 2038257
36.8%
1 3316478
60.0%
ValueCountFrequency (%)
1 3316478
60.0%
0 2038257
36.8%
-1 176716
 
3.2%

D_115
Real number (ℝ)

Distinct5063856
Distinct (%)94.6%
Missing176716
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean0.2781288432
Minimum2.228053546 × 10-7
Maximum1.999539733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:26.454600image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.228053546 × 10-7
5-th percentile0.01313284719
Q10.06258396804
median0.1991381198
Q30.4340721816
95-th percentile0.7917330742
Maximum1.999539733
Range1.99953951
Interquartile range (IQR)0.3714882135

Descriptive statistics

Standard deviation0.2562119663
Coefficient of variation (CV)0.9211988348
Kurtosis0.7301148176
Mean0.2781288432
Median Absolute Deviation (MAD)0.1578578055
Skewness1.077438593
Sum1489306.251
Variance0.06564456969
MonotonicityNot monotonic
2023-03-29T23:50:26.570254image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5248126388 5
 
< 0.1%
0.2645781934 5
 
< 0.1%
0.8645470142 5
 
< 0.1%
0.2746889591 5
 
< 0.1%
0.5809199214 5
 
< 0.1%
0.2928212583 5
 
< 0.1%
0.5183002949 5
 
< 0.1%
0.3440529704 5
 
< 0.1%
0.5558555126 4
 
< 0.1%
0.3178245425 4
 
< 0.1%
Other values (5063846) 5354687
96.8%
(Missing) 176716
 
3.2%
ValueCountFrequency (%)
2.228053546 × 10-71
< 0.1%
3.095198906 × 10-71
< 0.1%
3.50465001 × 10-71
< 0.1%
3.670475621 × 10-71
< 0.1%
4.451026712 × 10-71
< 0.1%
ValueCountFrequency (%)
1.999539733 1
< 0.1%
1.999525666 1
< 0.1%
1.999504447 1
< 0.1%
1.999500275 1
< 0.1%
1.999228477 1
< 0.1%

D_116
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03074961705
Minimum-1
Maximum1
Zeros5348109
Zeros (%)96.7%
Negative176716
Negative (%)3.2%
Memory size47.5 MiB
2023-03-29T23:50:26.669301image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1794431349
Coefficient of variation (CV)-5.835621778
Kurtosis25.49900381
Mean-0.03074961705
Median Absolute Deviation (MAD)0
Skewness-4.802694266
Sum-170090
Variance0.03219983867
MonotonicityNot monotonic
2023-03-29T23:50:26.743015image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5348109
96.7%
-1 176716
 
3.2%
1 6626
 
0.1%
ValueCountFrequency (%)
-1 176716
 
3.2%
0 5348109
96.7%
1 6626
 
0.1%
ValueCountFrequency (%)
1 6626
 
0.1%
0 5348109
96.7%
-1 176716
 
3.2%

D_117
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.181073465
Minimum-1
Maximum7
Zeros1456084
Zeros (%)26.3%
Negative176716
Negative (%)3.2%
Memory size47.5 MiB
2023-03-29T23:50:26.825127image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median4
Q35
95-th percentile7
Maximum7
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.376520951
Coefficient of variation (CV)0.7470814417
Kurtosis-1.194239556
Mean3.181073465
Median Absolute Deviation (MAD)1
Skewness-0.3101203899
Sum17595952
Variance5.647851829
MonotonicityNot monotonic
2023-03-29T23:50:26.902873image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1456084
26.3%
4 1166400
21.1%
5 1138666
20.6%
3 666808
12.1%
6 459290
 
8.3%
7 344520
 
6.2%
-1 176716
 
3.2%
2 122967
 
2.2%
ValueCountFrequency (%)
-1 176716
 
3.2%
0 1456084
26.3%
2 122967
 
2.2%
3 666808
12.1%
4 1166400
21.1%
ValueCountFrequency (%)
7 344520
 
6.2%
6 459290
 
8.3%
5 1138666
20.6%
4 1166400
21.1%
3 666808
12.1%

D_118
Real number (ℝ)

Distinct5064015
Distinct (%)94.6%
Missing176716
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean0.2835119216
Minimum2.551906242 × 10-8
Maximum1.97090745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:27.134165image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.551906242 × 10-8
5-th percentile0.007495736564
Q10.06241067126
median0.2204558402
Q30.4417184889
95-th percentile0.7869543076
Maximum1.97090745
Range1.970907424
Interquartile range (IQR)0.3793078177

Descriptive statistics

Standard deviation0.2559502125
Coefficient of variation (CV)0.9027846555
Kurtosis0.599889636
Mean0.2835119216
Median Absolute Deviation (MAD)0.1751305312
Skewness1.001245379
Sum1518131.21
Variance0.0655105114
MonotonicityNot monotonic
2023-03-29T23:50:27.252335image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4453374147 6
 
< 0.1%
0.2806321383 6
 
< 0.1%
0.3742673397 5
 
< 0.1%
0.3179765344 5
 
< 0.1%
0.1254405528 5
 
< 0.1%
0.2781971395 5
 
< 0.1%
0.7299989462 5
 
< 0.1%
0.6224825978 5
 
< 0.1%
0.5445315838 5
 
< 0.1%
0.4547187686 5
 
< 0.1%
Other values (5064005) 5354683
96.8%
(Missing) 176716
 
3.2%
ValueCountFrequency (%)
2.551906242 × 10-81
< 0.1%
2.898480389 × 10-81
< 0.1%
3.220544542 × 10-81
< 0.1%
8.344559177 × 10-81
< 0.1%
8.86190108 × 10-81
< 0.1%
ValueCountFrequency (%)
1.97090745 1
< 0.1%
1.970835328 1
< 0.1%
1.970816016 1
< 0.1%
1.970627427 1
< 0.1%
1.97028017 1
< 0.1%

D_119
Real number (ℝ)

Distinct5071097
Distinct (%)94.7%
Missing176716
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean0.279408125
Minimum7.076708641 × 10-8
Maximum1.977006674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:27.393450image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum7.076708641 × 10-8
5-th percentile0.007055902202
Q10.0583790224
median0.2133945972
Q30.4372384101
95-th percentile0.7858805358
Maximum1.977006674
Range1.977006603
Interquartile range (IQR)0.3788593877

Descriptive statistics

Standard deviation0.256467104
Coefficient of variation (CV)0.9178942237
Kurtosis0.6420555711
Mean0.279408125
Median Absolute Deviation (MAD)0.1728228629
Skewness1.02200222
Sum1496156.466
Variance0.06577537954
MonotonicityNot monotonic
2023-03-29T23:50:27.511363image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2995501161 5
 
< 0.1%
0.7399330139 5
 
< 0.1%
0.5691623092 5
 
< 0.1%
0.3104179204 5
 
< 0.1%
0.3205916286 5
 
< 0.1%
0.3034150898 5
 
< 0.1%
0.3446766734 5
 
< 0.1%
0.4082256854 5
 
< 0.1%
0.1287160069 5
 
< 0.1%
0.4100952446 5
 
< 0.1%
Other values (5071087) 5354685
96.8%
(Missing) 176716
 
3.2%
ValueCountFrequency (%)
7.076708641 × 10-81
< 0.1%
1.066690132 × 10-71
< 0.1%
1.13418551 × 10-71
< 0.1%
1.470586284 × 10-71
< 0.1%
1.79387925 × 10-71
< 0.1%
ValueCountFrequency (%)
1.977006674 1
< 0.1%
1.976911545 1
< 0.1%
1.976739407 1
< 0.1%
1.976611495 1
< 0.1%
1.976420045 1
< 0.1%

D_120
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08104491932
Minimum-1
Maximum1
Zeros4729723
Zeros (%)85.5%
Negative176716
Negative (%)3.2%
Memory size47.5 MiB
2023-03-29T23:50:27.611557image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3719834059
Coefficient of variation (CV)4.589842386
Kurtosis3.489339192
Mean0.08104491932
Median Absolute Deviation (MAD)0
Skewness0.9105864092
Sum448296
Variance0.1383716542
MonotonicityNot monotonic
2023-03-29T23:50:27.683570image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 4729723
85.5%
1 625012
 
11.3%
-1 176716
 
3.2%
ValueCountFrequency (%)
-1 176716
 
3.2%
0 4729723
85.5%
1 625012
 
11.3%
ValueCountFrequency (%)
1 625012
 
11.3%
0 4729723
85.5%
-1 176716
 
3.2%

D_121
Real number (ℝ)

Distinct4308351
Distinct (%)80.5%
Missing176716
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean0.5322440782
Minimum-0.03207546845
Maximum1.791114807
Zeros0
Zeros (%)0.0%
Negative47443
Negative (%)0.9%
Memory size63.3 MiB
2023-03-29T23:50:27.796359image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.03207546845
5-th percentile0.0951453954
Q10.3563470691
median0.5953796506
Q30.7148844302
95-th percentile0.7921453118
Maximum1.791114807
Range1.823190276
Interquartile range (IQR)0.358537361

Descriptive statistics

Standard deviation0.2338078618
Coefficient of variation (CV)0.43928692
Kurtosis-0.3451509476
Mean0.5322440782
Median Absolute Deviation (MAD)0.1602202654
Skewness-0.3894134164
Sum2850025.994
Variance0.05466611311
MonotonicityNot monotonic
2023-03-29T23:50:27.911894image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7588200569 11
 
< 0.1%
0.7644478083 11
 
< 0.1%
0.764701426 11
 
< 0.1%
0.7635341883 11
 
< 0.1%
0.7646004558 11
 
< 0.1%
0.7625426054 10
 
< 0.1%
0.7592030764 10
 
< 0.1%
0.7643838525 10
 
< 0.1%
0.7589608431 10
 
< 0.1%
0.7640875578 10
 
< 0.1%
Other values (4308341) 5354630
96.8%
(Missing) 176716
 
3.2%
ValueCountFrequency (%)
-0.03207546845 1
< 0.1%
-0.03207500651 1
< 0.1%
-0.03207464889 1
< 0.1%
-0.03207421303 1
< 0.1%
-0.03207408637 1
< 0.1%
ValueCountFrequency (%)
1.791114807 1
< 0.1%
1.791109443 1
< 0.1%
1.791044235 1
< 0.1%
1.790909171 1
< 0.1%
1.790882111 1
< 0.1%

D_122
Real number (ℝ)

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.674699098
Minimum-1
Maximum14
Zeros58249
Zeros (%)1.1%
Negative176716
Negative (%)3.2%
Memory size47.5 MiB
2023-03-29T23:50:28.015284image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum14
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.762806525
Coefficient of variation (CV)0.6590672299
Kurtosis0.1884504005
Mean2.674699098
Median Absolute Deviation (MAD)1
Skewness0.4632937946
Sum14794967
Variance3.107486845
MonotonicityNot monotonic
2023-03-29T23:50:28.097030image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 1485695
26.9%
2 1074183
19.4%
3 977834
17.7%
4 894123
16.2%
5 537577
 
9.7%
6 211217
 
3.8%
-1 176716
 
3.2%
7 74230
 
1.3%
0 58249
 
1.1%
8 27323
 
0.5%
Other values (6) 14304
 
0.3%
ValueCountFrequency (%)
-1 176716
 
3.2%
0 58249
 
1.1%
1 1485695
26.9%
2 1074183
19.4%
3 977834
17.7%
ValueCountFrequency (%)
14 10
 
< 0.1%
13 20
 
< 0.1%
12 138
 
< 0.1%
11 798
 
< 0.1%
10 3371
0.1%

D_123
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01210459968
Minimum-1
Maximum104
Zeros5114062
Zeros (%)92.5%
Negative176716
Negative (%)3.2%
Memory size47.5 MiB
2023-03-29T23:50:28.188985image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum104
Range105
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3036319764
Coefficient of variation (CV)25.08401637
Kurtosis15478.11878
Mean0.01210459968
Median Absolute Deviation (MAD)0
Skewness50.35856479
Sum66956
Variance0.09219237712
MonotonicityNot monotonic
2023-03-29T23:50:28.270480image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 5114062
92.5%
1 238794
 
4.3%
-1 176716
 
3.2%
2 1816
 
< 0.1%
3 43
 
< 0.1%
5 3
 
< 0.1%
104 3
 
< 0.1%
100 3
 
< 0.1%
62 3
 
< 0.1%
55 3
 
< 0.1%
Other values (3) 5
 
< 0.1%
ValueCountFrequency (%)
-1 176716
 
3.2%
0 5114062
92.5%
1 238794
 
4.3%
2 1816
 
< 0.1%
3 43
 
< 0.1%
ValueCountFrequency (%)
104 3
< 0.1%
100 3
< 0.1%
62 3
< 0.1%
55 3
< 0.1%
37 1
 
< 0.1%

D_124
Real number (ℝ)

Distinct61
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.336947394
Minimum-1
Maximum201
Zeros34138
Zeros (%)0.6%
Negative176716
Negative (%)3.2%
Memory size52.8 MiB
2023-03-29T23:50:28.372914image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile1
Q14
median6
Q310
95-th percentile17
Maximum201
Range202
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.12330739
Coefficient of variation (CV)0.6982886908
Kurtosis3.162254934
Mean7.336947394
Median Absolute Deviation (MAD)3
Skewness1.117699704
Sum40583965
Variance26.24827862
MonotonicityNot monotonic
2023-03-29T23:50:28.489036image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 506212
 
9.2%
4 502517
 
9.1%
6 476663
 
8.6%
3 470575
 
8.5%
7 439309
 
7.9%
8 395176
 
7.1%
2 381143
 
6.9%
9 345120
 
6.2%
10 296831
 
5.4%
11 247822
 
4.5%
Other values (51) 1470083
26.6%
ValueCountFrequency (%)
-1 176716
 
3.2%
0 34138
 
0.6%
1 241571
4.4%
2 381143
6.9%
3 470575
8.5%
ValueCountFrequency (%)
201 3
 
< 0.1%
63 3
 
< 0.1%
62 10
< 0.1%
57 3
 
< 0.1%
55 3
 
< 0.1%

D_125
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04486038112
Minimum-1
Maximum14
Zeros4959974
Zeros (%)89.7%
Negative176716
Negative (%)3.2%
Memory size47.5 MiB
2023-03-29T23:50:28.589006image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum14
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3445397077
Coefficient of variation (CV)7.680267067
Kurtosis13.74258788
Mean0.04486038112
Median Absolute Deviation (MAD)0
Skewness1.718279851
Sum248143
Variance0.1187076102
MonotonicityNot monotonic
2023-03-29T23:50:28.667822image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 4959974
89.7%
1 366790
 
6.6%
-1 176716
 
3.2%
2 26234
 
0.5%
3 1525
 
< 0.1%
4 134
 
< 0.1%
5 47
 
< 0.1%
6 10
 
< 0.1%
8 9
 
< 0.1%
10 6
 
< 0.1%
Other values (2) 6
 
< 0.1%
ValueCountFrequency (%)
-1 176716
 
3.2%
0 4959974
89.7%
1 366790
 
6.6%
2 26234
 
0.5%
3 1525
 
< 0.1%
ValueCountFrequency (%)
14 3
 
< 0.1%
10 6
< 0.1%
8 9
< 0.1%
7 3
 
< 0.1%
6 10
< 0.1%

D_126
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.681174614
Minimum-1
Maximum2
Zeros260898
Zeros (%)4.7%
Negative116816
Negative (%)2.1%
Memory size47.5 MiB
2023-03-29T23:50:28.856293image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q12
median2
Q32
95-th percentile2
Maximum2
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6619814703
Coefficient of variation (CV)0.3937612814
Kurtosis4.867161168
Mean1.681174614
Median Absolute Deviation (MAD)0
Skewness-2.265178506
Sum9299335
Variance0.438219467
MonotonicityNot monotonic
2023-03-29T23:50:28.923233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 4262414
77.1%
1 891323
 
16.1%
0 260898
 
4.7%
-1 116816
 
2.1%
ValueCountFrequency (%)
-1 116816
 
2.1%
0 260898
 
4.7%
1 891323
 
16.1%
2 4262414
77.1%
ValueCountFrequency (%)
2 4262414
77.1%
1 891323
 
16.1%
0 260898
 
4.7%
-1 116816
 
2.1%

D_127
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1025470532
Minimum0
Maximum1
Zeros4964217
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:28.998642image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3033663985
Coefficient of variation (CV)2.958314149
Kurtosis4.865891053
Mean0.1025470532
Median Absolute Deviation (MAD)0
Skewness2.620284201
Sum567234
Variance0.09203117172
MonotonicityNot monotonic
2023-03-29T23:50:29.070344image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 4964217
89.7%
1 567234
 
10.3%
ValueCountFrequency (%)
0 4964217
89.7%
1 567234
 
10.3%
ValueCountFrequency (%)
1 567234
 
10.3%
0 4964217
89.7%

D_128
Real number (ℝ)

MISSING  ZEROS 

Distinct100748
Distinct (%)1.9%
Missing101548
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.5820190748
Minimum0
Maximum1.023471713
Zeros2282338
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:29.169949image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.000418544
Q31.004734874
95-th percentile1.008185387
Maximum1.023471713
Range1.023471713
Interquartile range (IQR)1.004734874

Descriptive statistics

Standard deviation0.4956148863
Coefficient of variation (CV)0.8515440606
Kurtosis-1.895749092
Mean0.5820190748
Median Absolute Deviation (MAD)0.007256031036
Skewness-0.3227542341
Sum3160307.12
Variance0.2456341237
MonotonicityNot monotonic
2023-03-29T23:50:29.286675image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2282338
41.3%
1.004509449 68
 
< 0.1%
1.007754207 66
 
< 0.1%
1.003173351 66
 
< 0.1%
1.007222295 66
 
< 0.1%
1.008625269 64
 
< 0.1%
1.008290648 63
 
< 0.1%
1.000125289 62
 
< 0.1%
1.005329132 62
 
< 0.1%
1.001632571 62
 
< 0.1%
Other values (100738) 3146986
56.9%
(Missing) 101548
 
1.8%
ValueCountFrequency (%)
0 2282338
41.3%
0.9990000129 14
 
< 0.1%
0.9990000725 21
 
< 0.1%
0.9990001321 21
 
< 0.1%
0.9990001917 16
 
< 0.1%
ValueCountFrequency (%)
1.023471713 1
< 0.1%
1.022260189 1
< 0.1%
1.021383762 1
< 0.1%
1.021147132 1
< 0.1%
1.02055645 1
< 0.1%

D_129
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4086050839
Minimum-1
Maximum1
Zeros3068176
Zeros (%)55.5%
Negative101548
Negative (%)1.8%
Memory size47.5 MiB
2023-03-29T23:50:29.379667image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5276017497
Coefficient of variation (CV)1.291226591
Kurtosis-1.193685451
Mean0.4086050839
Median Absolute Deviation (MAD)0
Skewness-0.005700083
Sum2260179
Variance0.2783636063
MonotonicityNot monotonic
2023-03-29T23:50:29.455112image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 3068176
55.5%
1 2361727
42.7%
-1 101548
 
1.8%
ValueCountFrequency (%)
-1 101548
 
1.8%
0 3068176
55.5%
1 2361727
42.7%
ValueCountFrequency (%)
1 2361727
42.7%
0 3068176
55.5%
-1 101548
 
1.8%

B_41
Real number (ℝ)

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02722088653
Minimum-1
Maximum22
Zeros5415292
Zeros (%)97.9%
Negative690
Negative (%)< 0.1%
Memory size47.5 MiB
2023-03-29T23:50:29.544655image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2225694499
Coefficient of variation (CV)8.176421797
Kurtosis480.7169099
Mean0.02722088653
Median Absolute Deviation (MAD)0
Skewness15.23329007
Sum150571
Variance0.04953716004
MonotonicityNot monotonic
2023-03-29T23:50:29.629945image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 5415292
97.9%
1 92021
 
1.7%
2 16849
 
0.3%
3 4006
 
0.1%
4 1363
 
< 0.1%
-1 690
 
< 0.1%
5 575
 
< 0.1%
6 278
 
< 0.1%
7 108
 
< 0.1%
8 87
 
< 0.1%
Other values (11) 182
 
< 0.1%
ValueCountFrequency (%)
-1 690
 
< 0.1%
0 5415292
97.9%
1 92021
 
1.7%
2 16849
 
0.3%
3 4006
 
0.1%
ValueCountFrequency (%)
22 2
 
< 0.1%
20 1
 
< 0.1%
17 8
< 0.1%
16 12
< 0.1%
15 1
 
< 0.1%

B_42
Real number (ℝ)

Distinct71434
Distinct (%)99.9%
Missing5459973
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean0.1100376664
Minimum3.108574447 × 10-6
Maximum9.051836967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:29.734409image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3.108574447 × 10-6
5-th percentile0.001885797502
Q10.007259812672
median0.02159883734
Q30.1056131292
95-th percentile0.4115441963
Maximum9.051836967
Range9.051833859
Interquartile range (IQR)0.09835331654

Descriptive statistics

Standard deviation0.3137035966
Coefficient of variation (CV)2.850874677
Kurtosis291.4058228
Mean0.1100376664
Median Absolute Deviation (MAD)0.01840079948
Skewness13.87881947
Sum7865.272318
Variance0.09840995073
MonotonicityNot monotonic
2023-03-29T23:50:29.845409image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01106198039 2
 
< 0.1%
0.004897881765 2
 
< 0.1%
0.0117046833 2
 
< 0.1%
0.009163646959 2
 
< 0.1%
0.008130106144 2
 
< 0.1%
0.00502425991 2
 
< 0.1%
0.123377569 2
 
< 0.1%
0.01638270169 2
 
< 0.1%
0.008017176762 2
 
< 0.1%
0.00487437984 2
 
< 0.1%
Other values (71424) 71458
 
1.3%
(Missing) 5459973
98.7%
ValueCountFrequency (%)
3.108574447 × 10-61
< 0.1%
3.484534318 × 10-61
< 0.1%
8.076470294 × 10-61
< 0.1%
1.015453745 × 10-51
< 0.1%
1.132219222 × 10-51
< 0.1%
ValueCountFrequency (%)
9.051836967 1
< 0.1%
9.045048714 1
< 0.1%
9.038492203 1
< 0.1%
9.028083801 1
< 0.1%
9.012041092 1
< 0.1%

D_130
Real number (ℝ)

MISSING  ZEROS 

Distinct87229
Distinct (%)1.6%
Missing101548
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.197645167
Minimum0
Maximum1.028044462
Zeros4362088
Zeros (%)78.9%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:29.962917image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.007499218
Maximum1.028044462
Range1.028044462
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3994731307
Coefficient of variation (CV)2.021163162
Kurtosis0.330040127
Mean0.197645167
Median Absolute Deviation (MAD)0
Skewness1.526425362
Sum1073194.085
Variance0.1595787853
MonotonicityNot monotonic
2023-03-29T23:50:30.078565image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4362088
78.9%
1.007362008 31
 
< 0.1%
1.006384015 31
 
< 0.1%
1.003966689 29
 
< 0.1%
1.005244851 29
 
< 0.1%
1.000537038 29
 
< 0.1%
1.007079005 29
 
< 0.1%
1.007080317 28
 
< 0.1%
1.000966072 28
 
< 0.1%
1.002627969 28
 
< 0.1%
Other values (87219) 1067553
 
19.3%
(Missing) 101548
 
1.8%
ValueCountFrequency (%)
0 4362088
78.9%
1 2
 
< 0.1%
1.000000119 12
 
< 0.1%
1.000000238 17
 
< 0.1%
1.000000358 13
 
< 0.1%
ValueCountFrequency (%)
1.028044462 1
< 0.1%
1.026128531 1
< 0.1%
1.02314055 1
< 0.1%
1.021963716 1
< 0.1%
1.021136165 1
< 0.1%

D_131
Real number (ℝ)

MISSING  ZEROS 

Distinct357435
Distinct (%)6.6%
Missing101548
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.09887605036
Minimum0
Maximum1.491623878
Zeros4887320
Zeros (%)88.4%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:30.195716image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.985162133
Maximum1.491623878
Range1.491623878
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2968188226
Coefficient of variation (CV)3.00192839
Kurtosis5.138514519
Mean0.09887605036
Median Absolute Deviation (MAD)0
Skewness2.670539141
Sum536887.3625
Variance0.08810140938
MonotonicityNot monotonic
2023-03-29T23:50:30.309228image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4887320
88.4%
0.9817820787 9
 
< 0.1%
0.9797186255 9
 
< 0.1%
0.9845574498 9
 
< 0.1%
0.9779766202 9
 
< 0.1%
0.9815378189 8
 
< 0.1%
0.9796757102 8
 
< 0.1%
0.9812208414 8
 
< 0.1%
0.9768679738 8
 
< 0.1%
0.9792109132 8
 
< 0.1%
Other values (357425) 542507
 
9.8%
(Missing) 101548
 
1.8%
ValueCountFrequency (%)
0 4887320
88.4%
0.9689719677 1
 
< 0.1%
0.9689775109 1
 
< 0.1%
0.9689779282 1
 
< 0.1%
0.9689784646 1
 
< 0.1%
ValueCountFrequency (%)
1.491623878 1
< 0.1%
1.491446495 1
< 0.1%
1.491104364 1
< 0.1%
1.487859964 1
< 0.1%
1.485756278 1
< 0.1%

D_132
Real number (ℝ)

Distinct538748
Distinct (%)99.3%
Missing4988874
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean0.2101990224
Minimum-0.01510198694
Maximum6.039005756
Zeros0
Zeros (%)0.0%
Negative1719
Negative (%)< 0.1%
Memory size63.3 MiB
2023-03-29T23:50:30.433220image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.01510198694
5-th percentile0.0192690216
Q10.07369296253
median0.1614836603
Q30.2780517042
95-th percentile0.5173303843
Maximum6.039005756
Range6.054107743
Interquartile range (IQR)0.2043587416

Descriptive statistics

Standard deviation0.2476304024
Coefficient of variation (CV)1.1780759
Kurtosis93.2359314
Mean0.2101990224
Median Absolute Deviation (MAD)0.09748718888
Skewness7.239830494
Sum114049.155
Variance0.06132081524
MonotonicityNot monotonic
2023-03-29T23:50:30.653227image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.29616189 4
 
< 0.1%
0.1338133514 3
 
< 0.1%
0.3268909454 3
 
< 0.1%
0.3130424023 3
 
< 0.1%
0.079083547 3
 
< 0.1%
0.1693726778 3
 
< 0.1%
0.2601773441 3
 
< 0.1%
0.2942244709 3
 
< 0.1%
0.1471593082 3
 
< 0.1%
0.2503611743 3
 
< 0.1%
Other values (538738) 542546
 
9.8%
(Missing) 4988874
90.2%
ValueCountFrequency (%)
-0.01510198694 1
< 0.1%
-0.01467717066 1
< 0.1%
-0.01454370655 1
< 0.1%
-0.01451475453 1
< 0.1%
-0.0144356396 1
< 0.1%
ValueCountFrequency (%)
6.039005756 1
< 0.1%
6.027105331 1
< 0.1%
6.011813164 1
< 0.1%
5.999511242 1
< 0.1%
5.988922119 1
< 0.1%

D_133
Real number (ℝ)

Distinct4966219
Distinct (%)90.5%
Missing42716
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean0.04614353674
Minimum6.380582174 × 10-10
Maximum1.509999514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:30.780769image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum6.380582174 × 10-10
5-th percentile0.0005427635275
Q10.002718820586
median0.005439861212
Q30.008163445629
95-th percentile0.3094146639
Maximum1.509999514
Range1.509999513
Interquartile range (IQR)0.005444625043

Descriptive statistics

Standard deviation0.1720900536
Coefficient of variation (CV)3.729450877
Kurtosis29.65069008
Mean0.04614353674
Median Absolute Deviation (MAD)0.00272231875
Skewness5.173253059
Sum253269.6451
Variance0.02961498685
MonotonicityNot monotonic
2023-03-29T23:50:30.894175image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.008413741365 6
 
< 0.1%
0.009931712411 6
 
< 0.1%
0.008673225529 6
 
< 0.1%
0.009259751998 6
 
< 0.1%
0.008087660186 6
 
< 0.1%
0.008162429556 6
 
< 0.1%
0.008249913342 6
 
< 0.1%
0.0090286294 6
 
< 0.1%
0.008758077398 6
 
< 0.1%
0.008612208068 6
 
< 0.1%
Other values (4966209) 5488675
99.2%
(Missing) 42716
 
0.8%
ValueCountFrequency (%)
6.380582174 × 10-101
< 0.1%
1.243154246 × 10-91
< 0.1%
1.502323377 × 10-91
< 0.1%
1.641798697 × 10-91
< 0.1%
2.328041981 × 10-91
< 0.1%
ValueCountFrequency (%)
1.509999514 2
< 0.1%
1.509998798 1
< 0.1%
1.509998083 1
< 0.1%
1.509996653 1
< 0.1%
1.509994745 1
< 0.1%

R_28
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.000741758356
Minimum0
Maximum1
Zeros5527348
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size47.5 MiB
2023-03-29T23:50:30.990879image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02722514067
Coefficient of variation (CV)36.70351733
Kurtosis1343.149898
Mean0.000741758356
Median Absolute Deviation (MAD)0
Skewness36.67627861
Sum4103
Variance0.0007412082845
MonotonicityNot monotonic
2023-03-29T23:50:31.064136image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 5527348
99.9%
1 4103
 
0.1%
ValueCountFrequency (%)
0 5527348
99.9%
1 4103
 
0.1%
ValueCountFrequency (%)
1 4103
 
0.1%
0 5527348
99.9%

D_134
Real number (ℝ)

Distinct192523
Distinct (%)98.9%
Missing5336752
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean0.3300822287
Minimum-0.01244420093
Maximum1.009999871
Zeros0
Zeros (%)0.0%
Negative967
Negative (%)< 0.1%
Memory size63.3 MiB
2023-03-29T23:50:31.165264image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.01244420093
5-th percentile0.02845344711
Q10.1141262203
median0.2177689523
Q30.4541855305
95-th percentile1.003932631
Maximum1.009999871
Range1.022444072
Interquartile range (IQR)0.3400593102

Descriptive statistics

Standard deviation0.2962162197
Coefficient of variation (CV)0.8974012956
Kurtosis0.09660435468
Mean0.3300822287
Median Absolute Deviation (MAD)0.1389772296
Skewness1.124263167
Sum64266.67984
Variance0.08774404228
MonotonicityNot monotonic
2023-03-29T23:50:31.284297image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.009559631 4
 
< 0.1%
1.003489137 4
 
< 0.1%
1.003856778 4
 
< 0.1%
1.008932114 4
 
< 0.1%
1.003786087 4
 
< 0.1%
1.000142813 4
 
< 0.1%
1.004552603 3
 
< 0.1%
1.001284599 3
 
< 0.1%
1.006099701 3
 
< 0.1%
1.009139657 3
 
< 0.1%
Other values (192513) 194663
 
3.5%
(Missing) 5336752
96.5%
ValueCountFrequency (%)
-0.01244420093 1
< 0.1%
-0.01215563715 1
< 0.1%
-0.0121027343 1
< 0.1%
-0.01205416676 1
< 0.1%
-0.01185018197 1
< 0.1%
ValueCountFrequency (%)
1.009999871 1
< 0.1%
1.009999633 1
< 0.1%
1.009998322 1
< 0.1%
1.009998083 1
< 0.1%
1.009997487 1
< 0.1%

D_135
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9639221246
Minimum-1
Maximum1
Zeros189835
Zeros (%)3.4%
Negative5336752
Negative (%)96.5%
Memory size47.5 MiB
2023-03-29T23:50:31.379001image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1911411507
Coefficient of variation (CV)-0.1982952209
Kurtosis28.99815001
Mean-0.9639221246
Median Absolute Deviation (MAD)0
Skewness5.348828947
Sum-5331888
Variance0.03653493947
MonotonicityNot monotonic
2023-03-29T23:50:31.453586image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-1 5336752
96.5%
0 189835
 
3.4%
1 4864
 
0.1%
ValueCountFrequency (%)
-1 5336752
96.5%
0 189835
 
3.4%
1 4864
 
0.1%
ValueCountFrequency (%)
1 4864
 
0.1%
0 189835
 
3.4%
-1 5336752
96.5%

D_136
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9313243487
Minimum-1
Maximum7
Zeros52191
Zeros (%)0.9%
Negative5336752
Negative (%)96.5%
Memory size47.5 MiB
2023-03-29T23:50:31.536025image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum7
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3926066884
Coefficient of variation (CV)-0.4215574187
Kurtosis56.63823857
Mean-0.9313243487
Median Absolute Deviation (MAD)0
Skewness6.808608307
Sum-5151575
Variance0.1541400118
MonotonicityNot monotonic
2023-03-29T23:50:31.611816image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-1 5336752
96.5%
1 113702
 
2.1%
0 52191
 
0.9%
2 20134
 
0.4%
3 5386
 
0.1%
4 1925
 
< 0.1%
5 883
 
< 0.1%
6 412
 
< 0.1%
7 66
 
< 0.1%
ValueCountFrequency (%)
-1 5336752
96.5%
0 52191
 
0.9%
1 113702
 
2.1%
2 20134
 
0.4%
3 5386
 
0.1%
ValueCountFrequency (%)
7 66
 
< 0.1%
6 412
 
< 0.1%
5 883
 
< 0.1%
4 1925
 
< 0.1%
3 5386
0.1%

D_137
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9644764095
Minimum-1
Maximum1
Zeros192901
Zeros (%)3.5%
Negative5336752
Negative (%)96.5%
Memory size47.5 MiB
2023-03-29T23:50:31.693420image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1868469212
Coefficient of variation (CV)-0.1937288661
Kurtosis25.73129965
Mean-0.9644764095
Median Absolute Deviation (MAD)0
Skewness5.167514485
Sum-5334954
Variance0.03491177197
MonotonicityNot monotonic
2023-03-29T23:50:31.766895image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-1 5336752
96.5%
0 192901
 
3.5%
1 1798
 
< 0.1%
ValueCountFrequency (%)
-1 5336752
96.5%
0 192901
 
3.5%
1 1798
 
< 0.1%
ValueCountFrequency (%)
1 1798
 
< 0.1%
0 192901
 
3.5%
-1 5336752
96.5%

D_138
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9535646253
Minimum-1
Maximum6
Zeros138136
Zeros (%)2.5%
Negative5336752
Negative (%)96.5%
Memory size47.5 MiB
2023-03-29T23:50:31.849385image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum6
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.262944651
Coefficient of variation (CV)-0.2757491669
Kurtosis50.40635649
Mean-0.9535646253
Median Absolute Deviation (MAD)0
Skewness6.590556188
Sum-5274596
Variance0.06913988951
MonotonicityNot monotonic
2023-03-29T23:50:31.922650image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-1 5336752
96.5%
0 138136
 
2.5%
1 51775
 
0.9%
2 4144
 
0.1%
3 520
 
< 0.1%
4 93
 
< 0.1%
5 25
 
< 0.1%
6 6
 
< 0.1%
ValueCountFrequency (%)
-1 5336752
96.5%
0 138136
 
2.5%
1 51775
 
0.9%
2 4144
 
0.1%
3 520
 
< 0.1%
ValueCountFrequency (%)
6 6
 
< 0.1%
5 25
 
< 0.1%
4 93
 
< 0.1%
3 520
 
< 0.1%
2 4144
0.1%

D_139
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1523781012
Minimum-1
Maximum1
Zeros4485483
Zeros (%)81.1%
Negative101548
Negative (%)1.8%
Memory size47.5 MiB
2023-03-29T23:50:32.002919image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4072783226
Coefficient of variation (CV)2.672814004
Kurtosis1.395635741
Mean0.1523781012
Median Absolute Deviation (MAD)0
Skewness1.080747209
Sum842872
Variance0.1658756321
MonotonicityNot monotonic
2023-03-29T23:50:32.075392image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 4485483
81.1%
1 944420
 
17.1%
-1 101548
 
1.8%
ValueCountFrequency (%)
-1 101548
 
1.8%
0 4485483
81.1%
1 944420
 
17.1%
ValueCountFrequency (%)
1 944420
 
17.1%
0 4485483
81.1%
-1 101548
 
1.8%

D_140
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.014139328
Minimum-1
Maximum1
Zeros5371976
Zeros (%)97.1%
Negative40632
Negative (%)0.7%
Memory size47.5 MiB
2023-03-29T23:50:32.157997image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1692060144
Coefficient of variation (CV)11.96704783
Kurtosis31.23798041
Mean0.014139328
Median Absolute Deviation (MAD)0
Skewness2.66737532
Sum78211
Variance0.02863067532
MonotonicityNot monotonic
2023-03-29T23:50:32.231805image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5371976
97.1%
1 118843
 
2.1%
-1 40632
 
0.7%
ValueCountFrequency (%)
-1 40632
 
0.7%
0 5371976
97.1%
1 118843
 
2.1%
ValueCountFrequency (%)
1 118843
 
2.1%
0 5371976
97.1%
-1 40632
 
0.7%

D_141
Real number (ℝ)

MISSING  ZEROS 

Distinct779126
Distinct (%)14.3%
Missing101548
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.1603911132
Minimum0
Maximum1.339910388
Zeros4485485
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:32.338061image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.9519071698
Maximum1.339910388
Range1.339910388
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3501590192
Coefficient of variation (CV)2.183157235
Kurtosis1.035364866
Mean0.1603911132
Median Absolute Deviation (MAD)0
Skewness1.734685898
Sum870908.1868
Variance0.1226113439
MonotonicityNot monotonic
2023-03-29T23:50:32.574190image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4485485
81.1%
0.8677563667 7
 
< 0.1%
0.8636361361 7
 
< 0.1%
0.8721713424 7
 
< 0.1%
0.8631765842 7
 
< 0.1%
0.8651122451 7
 
< 0.1%
0.8654826283 7
 
< 0.1%
0.8672075868 6
 
< 0.1%
0.8639777303 6
 
< 0.1%
0.8688560128 6
 
< 0.1%
Other values (779116) 944358
 
17.1%
(Missing) 101548
 
1.8%
ValueCountFrequency (%)
0 4485485
81.1%
0.8543027639 1
 
< 0.1%
0.854388833 1
 
< 0.1%
0.8544132113 1
 
< 0.1%
0.8546307087 1
 
< 0.1%
ValueCountFrequency (%)
1.339910388 1
< 0.1%
1.334798694 1
< 0.1%
1.332781315 1
< 0.1%
1.331737399 1
< 0.1%
1.33042419 1
< 0.1%

D_142
Real number (ℝ)

Distinct926344
Distinct (%)98.1%
Missing4587043
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean0.3907994026
Minimum-0.01453933958
Maximum2.22936821
Zeros0
Zeros (%)0.0%
Negative4555
Negative (%)0.1%
Memory size63.3 MiB
2023-03-29T23:50:32.707611image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.01453933958
5-th percentile0.03894283175
Q10.1993992887
median0.3821359426
Q30.5593074858
95-th percentile0.7647588491
Maximum2.22936821
Range2.243907549
Interquartile range (IQR)0.3599081971

Descriptive statistics

Standard deviation0.2361822575
Coefficient of variation (CV)0.6043567517
Kurtosis0.3703912497
Mean0.3907994026
Median Absolute Deviation (MAD)0.1796990335
Skewness0.458391875
Sum369074.0822
Variance0.05578206107
MonotonicityNot monotonic
2023-03-29T23:50:32.821601image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3016853929 4
 
< 0.1%
0.5327148438 4
 
< 0.1%
0.380939424 4
 
< 0.1%
0.5511784554 4
 
< 0.1%
0.5618174076 4
 
< 0.1%
0.5385986567 3
 
< 0.1%
0.5546562076 3
 
< 0.1%
0.5662260652 3
 
< 0.1%
0.5106631517 3
 
< 0.1%
0.3415915072 3
 
< 0.1%
Other values (926334) 944373
 
17.1%
(Missing) 4587043
82.9%
ValueCountFrequency (%)
-0.01453933958 1
< 0.1%
-0.01444070134 1
< 0.1%
-0.01422761008 1
< 0.1%
-0.01394664124 1
< 0.1%
-0.01219097525 1
< 0.1%
ValueCountFrequency (%)
2.22936821 1
< 0.1%
2.229182482 1
< 0.1%
2.228482962 1
< 0.1%
2.217040062 1
< 0.1%
2.214679718 1
< 0.1%

D_143
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1522529984
Minimum-1
Maximum1
Zeros4486175
Zeros (%)81.1%
Negative101548
Negative (%)1.8%
Memory size47.5 MiB
2023-03-29T23:50:32.915170image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4071715111
Coefficient of variation (CV)2.674308654
Kurtosis1.399231359
Mean0.1522529984
Median Absolute Deviation (MAD)0
Skewness1.081384539
Sum842180
Variance0.1657886395
MonotonicityNot monotonic
2023-03-29T23:50:32.987255image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 4486175
81.1%
1 943728
 
17.1%
-1 101548
 
1.8%
ValueCountFrequency (%)
-1 101548
 
1.8%
0 4486175
81.1%
1 943728
 
17.1%
ValueCountFrequency (%)
1 943728
 
17.1%
0 4486175
81.1%
-1 101548
 
1.8%

D_144
Real number (ℝ)

Distinct4985193
Distinct (%)90.8%
Missing40727
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean0.05238951505
Minimum2.500990526 × 10-9
Maximum1.343330979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.3 MiB
2023-03-29T23:50:33.101893image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.500990526 × 10-9
5-th percentile0.0005507461639
Q10.002752895583
median0.005508129019
Q30.008260447066
95-th percentile0.4249614939
Maximum1.343330979
Range1.343330977
Interquartile range (IQR)0.005507551483

Descriptive statistics

Standard deviation0.1825134605
Coefficient of variation (CV)3.483778392
Kurtosis20.12260818
Mean0.05238951505
Median Absolute Deviation (MAD)0.00275380956
Skewness4.417776585
Sum287656.3676
Variance0.03331116214
MonotonicityNot monotonic
2023-03-29T23:50:33.224574image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.008864820935 7
 
< 0.1%
0.009603050537 6
 
< 0.1%
0.009233559482 6
 
< 0.1%
0.003421198111 6
 
< 0.1%
0.009183002636 6
 
< 0.1%
0.009104627185 6
 
< 0.1%
0.009480932727 6
 
< 0.1%
0.008154497482 6
 
< 0.1%
0.005938613322 6
 
< 0.1%
0.007878108881 6
 
< 0.1%
Other values (4985183) 5490663
99.3%
(Missing) 40727
 
0.7%
ValueCountFrequency (%)
2.500990526 × 10-91
< 0.1%
4.701217193 × 10-91
< 0.1%
1.248703274 × 10-81
< 0.1%
1.325408761 × 10-81
< 0.1%
1.668891514 × 10-81
< 0.1%
ValueCountFrequency (%)
1.343330979 1
< 0.1%
1.343330741 1
< 0.1%
1.343330145 1
< 0.1%
1.343328595 1
< 0.1%
1.343328238 1
< 0.1%

D_145
Real number (ℝ)

Distinct52
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6007445424
Minimum-1
Maximum53
Zeros4485483
Zeros (%)81.1%
Negative101548
Negative (%)1.8%
Memory size47.5 MiB
2023-03-29T23:50:33.344270image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum53
Range54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.119894282
Coefficient of variation (CV)3.528778261
Kurtosis42.11180163
Mean0.6007445424
Median Absolute Deviation (MAD)0
Skewness5.537807846
Sum3322989
Variance4.493951766
MonotonicityNot monotonic
2023-03-29T23:50:33.460141image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4485483
81.1%
1 370084
 
6.7%
2 177905
 
3.2%
-1 101548
 
1.8%
3 82127
 
1.5%
4 73007
 
1.3%
5 46174
 
0.8%
6 40625
 
0.7%
7 28340
 
0.5%
8 26476
 
0.5%
Other values (42) 99682
 
1.8%
ValueCountFrequency (%)
-1 101548
 
1.8%
0 4485483
81.1%
1 370084
 
6.7%
2 177905
 
3.2%
3 82127
 
1.5%
ValueCountFrequency (%)
53 5
< 0.1%
52 8
< 0.1%
50 12
< 0.1%
47 8
< 0.1%
46 11
< 0.1%

target
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2490972079
Minimum0
Maximum1
Zeros4153582
Zeros (%)75.1%
Negative0
Negative (%)0.0%
Memory size84.4 MiB
2023-03-29T23:50:33.551223image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4324902574
Coefficient of variation (CV)1.736230851
Kurtosis-0.6537721829
Mean0.2490972079
Median Absolute Deviation (MAD)0
Skewness1.160270681
Sum1377869
Variance0.1870478228
MonotonicityNot monotonic
2023-03-29T23:50:33.623086image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 4153582
75.1%
1 1377869
 
24.9%
ValueCountFrequency (%)
0 4153582
75.1%
1 1377869
 
24.9%
ValueCountFrequency (%)
1 1377869
 
24.9%
0 4153582
75.1%